Ilir Sela started Slice with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over tens of thousands of restaurants with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfil this valuable mission. That’s where you come in.

This position is open to applicants across all of the UK on a remote basis, with the physical office located in Belfast, Northern Ireland.

There are several openings within our Web team so we welcome applications from candidates seeking intermediate or senior level positions.

The Role

To continue scaling our Front-End teams we’re searching for an experienced software developer with a passion for Front-End development, particularly React and TypeScript. In this role, you will be instrumental in building world-class web products that empower small business owners.

You will take a lead in solving technical challenges and utilise your expertise to contribute to and guide important technical decisions across the team. You’ll be challenged with consistent hands-on contributions both autonomously and as a group. Your experience will be valuable in partnering with the technical leads and Development Manager, allowing them to focus on wider team and strategic initiatives, while you pilot technical responsibilities. Your ability to troubleshoot complex production issues and ensure high-quality test coverage will be crucial to our continuous delivery model.

The Team

You’ll join a dynamic team of Front-End Developers and the individuals you'll collaborate with are curious, motivated, and exceptionally proficient in their respective domains. They welcome challenging tasks and thrive on resolving them within an empowered and supportive setting. Our team brings together talented developers from across the US, Canada, UK, and Eastern Europe, each contributing unique perspectives and expertise to drive success. We work on products used by hundreds of thousands of customers and we ship changes live to production every day. There are no direct reports for this position but you’ll be comfortable coaching and mentoring others, sharing knowledge and setting examples to the wider team.

The Winning Recipe
We’re looking for creative, entrepreneurial engineers who are excited to build world-class products for small business counters. These are the core competencies this role calls for:

• 3+ years experience building applications with React
• 3+ years experience with TypeScript - you view TS as an invaluable tool and are an expert in its use
• Excellent investigative debugging skills and a proven ability to troubleshoot complicated and subtle problems in high availability production environments
• Proven experience delivering web experiences that meet standards for accessibility, performance, and SEO
• Proficient on driving high quality and appropriate test coverage
• You are a Front-End specialist but you understand aspects of the full tech stack and can contribute meaningfully to API design and overall system architecture

The Extras
Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights:

• Access to healthcare plans
• Flexible working hours
• Generous time off policies
• Employee wellbeing allowance
• Market leading maternity and paternity schemes

The Hiring Process

Here’s what you can expect from our hiring process if your candidacy progresses smoothly. We move quickly and strive for a fast turnaround from the final interview to the offer.

• 30 minute introductory meeting with your Recruiter
• 60 minute Live Coding Interview
• 60 minute Technical Interview
• 30 minute hiring manager meeting
• Offer!

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, colour, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

Privacy Notice Statement of Acknowledgment

When you apply for a job on this site, the personal data contained in your application will be collected by Slice. Slice is keeping your data safe and secure. Once we have received your personal data, we put in place reasonable and appropriate measures and controls to prevent any accidental or unlawful destruction, loss, alteration, or unauthorised access. If selected, we will process your personal data for hiring /employment processes, as well as our legal obligations.

If you are not selected for the job position and you have given consent on the question below (by selecting "Give consent") we will store and process your personal data and submitted documents (CV) to consider eligibility for employment up to 365 days (one year). You have the right to withdraw your previously given consent for storing your personal data and CV in the Slice database considering eligibility for employment for a year. You have the right to withdraw your consent at any time.

For additional information and / or exercise of your rights to the protection of personal data, you can contact our Data Protection Officer, e-mail: privacy@slice.com

Ilir Sela started Slice with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over tens of thousands of restaurants with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfil this valuable mission. That’s where you come in.

The Role

Develop innovative features that help our restaurant partners operate more efficiently and provide exceptional, seamless experiences for their customers. You’ll work primarily in Python and Django to design, develop and maintain robust web applications.You will collaborate closely with Product Designers, Product Managers, and other stakeholders to deliver high-quality software that meets the needs of our users.

We appreciate interest from candidates of all experience levels. However, at this time, we are unable to consider recent graduates or those without at least two or more years of professional, industry experience. Job titles and responsibilities can vary widely across companies, so if shortlisted, we will use the interview process to evaluate and determine the best fit at Slice based on your specific skills and experience.

The Team

You'll join a dynamic team of 7-10 Full Stack Engineers, focused on building and maintaining high-performance Django/Python applications. We move fast, iterating quickly to develop and improve internal products that drive efficiency and deliver real impact. With team members across the US, UK, and Eastern Europe, we leverage diverse expertise to create innovative solutions while maintaining a strong culture of collaboration and code quality.

The Winning Recipe 

We’re looking for creative, entrepreneurial developers who are excited to build world-class products for small business counters. 

The core competencies this role calls for:

• Proven experience and passion for using web technologies such as Django, Python & RESTful APIs.
• Comfortable working remotely and collaborating asynchronously with teammates in different timezones and from different backgrounds
• Able to clearly express opinions on product design, while respecting the thoughts and opinions of your peers

The Extras

Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights:

• Access to healthcare plans
• Flexible working hours
• Generous time off policies
• Employee wellbeing allowance
• Market leading maternity and paternity schemes

The Hiring Process

Here’s what you can expect from our hiring process if your candidacy progresses smoothly. We move quickly and strive for a fast turnaround from the final interview to the offer.

• 30 minute introductory meeting with your Recruiter
• Live coding session & Technical Interview
• 30 minute hiring manager meeting
• Offer!

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, colour, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

Privacy Notice Statement of Acknowledgment

When you apply for a job on this site, the personal data contained in your application will be collected by Slice. Slice is keeping your data safe and secure. Once we have received your personal data, we put in place reasonable and appropriate measures and controls to prevent any accidental or unlawful destruction, loss, alteration, or unauthorised access. If selected, we will process your personal data for hiring /employment processes, as well as our legal obligations.

If you are not selected for the job position and you have given consent on the question below (by selecting "Give consent") we will store and process your personal data and submitted documents (CV) to consider eligibility for employment up to 365 days (one year). You have the right to withdraw your previously given consent for storing your personal data and CV in the Slice database considering eligibility for employment for a year. You have the right to withdraw your consent at any time.

For additional information and / or exercise of your rights to the protection of personal data, you can contact our Data Protection Officer, e-mail: privacy@slice.com

In the last year at Loka, our engineers have helped clients advance the world’s #1 AI reading tutor, eliminate $1B in food waste and develop novel drugs for fighting cancer. To cap it off, at the end of 2024 Loka was recognized by AWS as Innovation Partner of the Year, outshining 150,000 partners for the title.

Our award-winning engineering work is driven by our Sales team—the team that we want you to lead.

We’re seeking a Head of Sales Operations to drive our revenue engine to the next level. In this role you will architect the operational backbone that connects our world-class Sales team with our elite Engineering teams. You'll build systems and processes that scale seamlessly from startup speed to enterprise precision, ensuring every client engagement launches flawlessly from first conversation to final deployment.

We count more than 200 certified specialists, technical experts and PhDs among our colleagues. We work entirely remotely, test new ideas with our in-house incubator LokaLabs™ and take every other Friday off (really).

If you're one of those rare leaders driven to transform how elite consulting teams operate at scale, consider Loka your optimal leverage point.

The Role

Lead and expand our existing sales operations by supporting a dynamic team of 5-6 sales professionals while building the foundation for aggressive growth.

Architect systems and processes that seamlessly connect sales pipeline to delivery excellence, ensuring our clients experience Loka's superlative execution from first conversation through project completion.

Drive daily coordination between sales and engineering operations on staffing, project logistics and resource allocation.

Build and lead proactive analytics and reporting that not only track what happened but also predict what's coming.

Scale operations as we expand our GenAI practice and grow our AWS partnership into new customer segments

Manage and grow a high-performing sales operations team, establishing career paths and mentoring future leaders.

Partner closely with leadership on strategic opportunities and data informed decisions as we scale and guide strategic decisions along the way.

Leadership Requirements

• 10+ years of progressive experience in sales operations, revenue operations or related functions with increasing responsibility and impact
• Proven management experience at director level or above, with demonstrated success building and scaling high-performing teams in fast-growth environments
• Systems architecture mindset with hands-on experience designing and implementing scalable revenue operations processes and technologies
• HubSpot expertise and experience with modern sales tech stack integration, reporting and optimization
• Cross-functional collaboration with internal stakeholders to ensure seamless execution
• Analytics and reporting mastery with ability to transform data into actionable insights that drive both tactical improvements and strategic decisions
• Scaling experience with proven success guiding company operations through significant growth phases
• Hands-on mindset, comfortable performing operational work in a fast-changing environment

Experience Profile

• Software-services experience preferred though exceptional candidates from SaaS, consulting or other technology sectors will be considered
• Startup-to-scale-up experience with comfort operating in ambiguous, fast-moving environments while building enterprise-grade processes
• Global or distributed team experience managing across time zones and cultures
• Client relations skills with ability to represent operational excellence in strategic client conversations

Personality Profile

Curiosity: You strive to learn and grow into different industries with a modern tech stack and ever-evolving client needs.

Autonomy and leadership: You thrive in a fully remote, globally distributed environment while driving results across multiple stakeholders.

Collaborative excellence: You enjoy building bridges between sales, engineering and delivery teams to create seamless client experiences.

Adaptability: You operate with a startup mindset and move at startup speed while building enterprise-quality processes.

Benefits

Every other Friday off (26 extra days off a year)

Remote-first and flexible schedule with access to offices in Portugal, North Macedonia and Colombia

Explorer and Relocate programs (three months abroad or full international relocation support)

Paid sick days and local holidays

Access to LokaLabs™, our internal R&D incubator where you can explore moonshot technologies

Mental wellness and physical fitness programs

Continuous learning support with yearly curiosity allowance

Additional Requirements

Excellent English. As a global team, we work entirely in English for meetings, customer calls and business communications.

CV submitted in English

Your achievements matter to us! Ensure your CV and LinkedIn profiles are up to date and accurately reflect your leadership experience and operational impact.

In the last year at Loka, our engineers have helped clients advance the world’s #1 AI reading tutor, eliminate $1B in food waste and develop novel drugs for fighting cancer. To cap it off, at the end of 2024 Loka was recognized by AWS as Innovation Partner of the Year, outshining 150,000 partners for the title.

Our award-winning engineering work is driven by our Sales team—the team that we want you to lead.

We’re seeking a Head of Sales Operations to drive our revenue engine to the next level. In this role you will architect the operational backbone that connects our world-class Sales team with our elite Engineering teams. You'll build systems and processes that scale seamlessly from startup speed to enterprise precision, ensuring every client engagement launches flawlessly from first conversation to final deployment.

We count more than 200 certified specialists, technical experts and PhDs among our colleagues. We work entirely remotely, test new ideas with our in-house incubator LokaLabs™ and take every other Friday off (really).

If you're one of those rare leaders driven to transform how elite consulting teams operate at scale, consider Loka your optimal leverage point.

The Role

Lead and expand our existing sales operations by supporting a dynamic team of 5-6 sales professionals while building the foundation for aggressive growth.

Architect systems and processes that seamlessly connect sales pipeline to delivery excellence, ensuring our clients experience Loka's superlative execution from first conversation through project completion.

Drive daily coordination between sales and engineering operations on staffing, project logistics and resource allocation.

Build and lead proactive analytics and reporting that not only track what happened but also predict what's coming.

Scale operations as we expand our GenAI practice and grow our AWS partnership into new customer segments

Manage and grow a high-performing sales operations team, establishing career paths and mentoring future leaders.

Partner closely with leadership on strategic opportunities and data informed decisions as we scale and guide strategic decisions along the way.

Leadership Requirements

• 10+ years of progressive experience in sales operations, revenue operations or related functions with increasing responsibility and impact
• Proven management experience at director level or above, with demonstrated success building and scaling high-performing teams in fast-growth environments
• Systems architecture mindset with hands-on experience designing and implementing scalable revenue operations processes and technologies
• HubSpot expertise and experience with modern sales tech stack integration, reporting and optimization
• Cross-functional collaboration with internal stakeholders to ensure seamless execution
• Analytics and reporting mastery with ability to transform data into actionable insights that drive both tactical improvements and strategic decisions
• Scaling experience with proven success guiding company operations through significant growth phases
• Hands-on mindset, comfortable performing operational work in a fast-changing environment

Experience Profile

• Software-services experience preferred though exceptional candidates from SaaS, consulting or other technology sectors will be considered
• Startup-to-scale-up experience with comfort operating in ambiguous, fast-moving environments while building enterprise-grade processes
• Global or distributed team experience managing across time zones and cultures
• Client relations skills with ability to represent operational excellence in strategic client conversations

Personality Profile

Curiosity: You strive to learn and grow into different industries with a modern tech stack and ever-evolving client needs.

Autonomy and leadership: You thrive in a fully remote, globally distributed environment while driving results across multiple stakeholders.

Collaborative excellence: You enjoy building bridges between sales, engineering and delivery teams to create seamless client experiences.

Adaptability: You operate with a startup mindset and move at startup speed while building enterprise-quality processes.

Benefits

Every other Friday off (26 extra days off a year)

Remote-first and flexible schedule with access to offices in Portugal, North Macedonia and Colombia

Explorer and Relocate programs (three months abroad or full international relocation support)

Paid sick days and local holidays

Access to LokaLabs™, our internal R&D incubator where you can explore moonshot technologies

Mental wellness and physical fitness programs

Continuous learning support with yearly curiosity allowance

Additional Requirements

Excellent English. As a global team, we work entirely in English for meetings, customer calls and business communications.

CV submitted in English

Your achievements matter to us! Ensure your CV and LinkedIn profiles are up to date and accurately reflect your leadership experience and operational impact.

Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.

Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎)

The Role

• Understanding of statistical, ML and deep learning algorithms
• Analyze errors of models and design strategies to overcome them
• Deploy, maintain, and upgrade ML models and pipelines
• Ambition to learn and grow into different industries with a modern tech stack
• Autonomy, adaptability and positivity (fully remote and globally distributed team)

The Required Hard Skills

• Bachelor's Degree in Computer Science or related
• 2+ years of ML engineering experience
• Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV written in English

Bonus Points for Experience with…

• Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.
• MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)
• Visualizing and manipulating big datasets
• NLP

The Required Soft Skills

• Curiosity—Ambition to learn and grow into different industries with a modern tech stack
• Autonomy and positivity—We’re a fully remote, globally distributed team
• Teamwork—Enjoy a collaborative approach
• Adaptability—Operate with a startup mindset and move at a startup pace

The Benefits

• Every other Friday off (26 extra days off a year)
• Remote and flexible
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.

Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎)

The Role

• Understanding of statistical, ML and deep learning algorithms
• Analyze errors of models and design strategies to overcome them
• Deploy, maintain, and upgrade ML models and pipelines
• Ambition to learn and grow into different industries with a modern tech stack
• Autonomy, adaptability and positivity (fully remote and globally distributed team)

The Required Hard Skills

• Bachelor's Degree in Computer Science or related
• 2+ years of ML engineering experience
• Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV written in English

Bonus Points for Experience with…

• Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.
• MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)
• Visualizing and manipulating big datasets
• NLP

The Required Soft Skills

• Curiosity—Ambition to learn and grow into different industries with a modern tech stack
• Autonomy and positivity—We’re a fully remote, globally distributed team
• Teamwork—Enjoy a collaborative approach
• Adaptability—Operate with a startup mindset and move at a startup pace

The Benefits

• Every other Friday off (26 extra days off a year)
• Remote and flexible
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Years from now, history will look back at this moment as a landmark for the human race—the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what? 

If you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point. 

Loka, a globally distributed tech consultancy based in Silicon Valley, is seeking a Senior Machine Learning Engineer to join our growing team. In this position you will serve as the primary specialist in designing and implementing machine learning solutions across multiple projects. Your expertise in ML algorithms and ML, DL and Foundation Models will empower us to develop robust, scalable systems and improve them over time. Ultimately we expect you to not just fit in with our ML crew but to elevate it to new heights. 

Our technical teams help clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters. 

We count more than 100 certified specialists, technical experts and PhDs among our teammates—committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with an in-house incubator called LokaLabs, observe local holidays and take every other Friday off (really). We’re as proud of our culture as we are of our projects. You will be too. 

The Role

• Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results.
• Understand business objectives and develop models that help achieve them, along with metrics to track progress.
• Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices.
• Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively.
• Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance.
• Analyze model errors and design strategies to overcome them.
• Deploy, maintain and upgrade ML models and pipelines.
• Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork.
• Drive architectural decisions and contribute to high-level planning and strategy. 
• Direct report to ML leads.
• Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects.
• Write and maintain technical documentation.
• Provide guidance and mentorship to junior ML engineers within the team.
• Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.
• Continuously optimize models for performance, scalability and cost-effectiveness, especially within the AWS environment.

Required Hard Skills 

• 4+ years of AI/ML engineering experience
• Bachelor’s degree in Computer Science or related
• Experience with Python, ML libraries and AI/ML frameworks (sklearn, PyTorch, HuggingFace, TensorFlow, Transformers, LangChain/LangGraph, Llamlndex, smolagents, strands-agents etc.) 
• Experience building GenAI solutions through prompt engineering, fine-tuning and developing agents with common patterns like Agentic RAG, NLQ etc.
• Client-facing experience
• Familiarity with containerization and orchestration tools 

Additional Requirements 

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV sent in English

Not Required but Nice to Have

• Experience with MLOps/LLMOps, preferably in AWS (e.g: Sagemaker/Bedrock), as well as standards tools (e.g. MLFlow, LangFuse) 
• Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. - Plus

Required Soft Skills 

• Curiosity: Strive to learn and grow into different industries with a modern tech stack. 
• Autonomy and positivity: We’re a fully remote, globally distributed team. 
• Teamwork: Enjoy a collaborative approach. 
• Adaptability: Operate with a startup mindset and move at a startup pace. 

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience. 

Years from now, history will look back at this moment as a landmark for the human race—the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what? 

If you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point. 

Loka, a globally distributed tech consultancy based in Silicon Valley, is seeking a Senior Machine Learning Engineer to join our growing team. In this position you will serve as the primary specialist in designing and implementing machine learning solutions across multiple projects. Your expertise in ML algorithms and ML, DL and Foundation Models will empower us to develop robust, scalable systems and improve them over time. Ultimately we expect you to not just fit in with our ML crew but to elevate it to new heights. 

Our technical teams help clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters. 

We count more than 100 certified specialists, technical experts and PhDs among our teammates—committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with an in-house incubator called LokaLabs, observe local holidays and take every other Friday off (really). We’re as proud of our culture as we are of our projects. You will be too. 

The Role

• Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results.
• Understand business objectives and develop models that help achieve them, along with metrics to track progress.
• Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices.
• Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively.
• Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance.
• Analyze model errors and design strategies to overcome them.
• Deploy, maintain and upgrade ML models and pipelines.
• Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork.
• Drive architectural decisions and contribute to high-level planning and strategy. 
• Direct report to ML leads.
• Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects.
• Write and maintain technical documentation.
• Provide guidance and mentorship to junior ML engineers within the team.
• Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.
• Continuously optimize models for performance, scalability and cost-effectiveness, especially within the AWS environment.

Required Hard Skills 

• 4+ years of AI/ML engineering experience
• Bachelor’s degree in Computer Science or related
• Experience with Python, ML libraries and AI/ML frameworks (sklearn, PyTorch, HuggingFace, TensorFlow, Transformers, LangChain/LangGraph, Llamlndex, smolagents, strands-agents etc.) 
• Experience building GenAI solutions through prompt engineering, fine-tuning and developing agents with common patterns like Agentic RAG, NLQ etc.
• Client-facing experience
• Familiarity with containerization and orchestration tools 

Additional Requirements 

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV sent in English

Not Required but Nice to Have

• Experience with MLOps/LLMOps, preferably in AWS (e.g: Sagemaker/Bedrock), as well as standards tools (e.g. MLFlow, LangFuse) 
• Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. - Plus

Required Soft Skills 

• Curiosity: Strive to learn and grow into different industries with a modern tech stack. 
• Autonomy and positivity: We’re a fully remote, globally distributed team. 
• Teamwork: Enjoy a collaborative approach. 
• Adaptability: Operate with a startup mindset and move at a startup pace. 

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience. 

At Loka we use a modern tech stack to support meaningful projects across a huge range of industries. In the last year our teams have helped clients advance the world’s #1 GenAI reading tutor, eliminate $1B in food waste and develop novel drugs for fighting cancer, all while enjoying every other Friday off. Join us, feed your need to grow and ship projects you believe in with a team you’re proud to be a part of.

As Loka’s Senior DevOps Engineer, you'll be the go-to specialist for crafting and deploying infrastructure across a variety of projects. Your skills in AWS, TypeScript and Python will allow us to build solid, scalable systems and improve them over time. Ultimately we expect you to not only to fit in with the team but to elevate it to new heights.

The Role

• Develop technical design specifications based on functional requirements and develop and maintain AWS Cloud applications.
• Orchestrate containers with Kubernetes.
• Automate operations, implement CI/CD pipelines.
• Ensure security and compliance.
• Assess change implementation options, benefits and risks and recommend the most appropriate approach with minimal assistance.

Required Hard Skills

• 4+ years as DevOps engineer
• Serverless compute, scripting, AWS
• Git, CI/CD tools, AWS CDK/Terraform/CDKTF
• Docker, Kubernetes, database administration (plus)
• Python, TypeScript
• Bachelor's in Computer Science or related
• Client interaction and team skills
• Autonomy, adaptability and positivity

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV written in English

Personality Profile

• Curious: Ambition to learn and grow into different industries with a modern tech stack.
• Autonomous and positive: We’re a fully remote, globally distributed team.
• Team player: Enjoy a collaborative approach.
• Adaptable: Operate with a startup mindset and move at a startup pace.

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.

At Loka we use a modern tech stack to support meaningful projects across a huge range of industries. In the last year our teams have helped clients advance the world’s #1 GenAI reading tutor, eliminate $1B in food waste and develop novel drugs for fighting cancer, all while enjoying every other Friday off. Join us, feed your need to grow and ship projects you believe in with a team you’re proud to be a part of.

As Loka’s Senior DevOps Engineer, you'll be the go-to specialist for crafting and deploying infrastructure across a variety of projects. Your skills in AWS, TypeScript and Python will allow us to build solid, scalable systems and improve them over time. Ultimately we expect you to not only to fit in with the team but to elevate it to new heights.

The Role

• Develop technical design specifications based on functional requirements and develop and maintain AWS Cloud applications.
• Orchestrate containers with Kubernetes.
• Automate operations, implement CI/CD pipelines.
• Ensure security and compliance.
• Assess change implementation options, benefits and risks and recommend the most appropriate approach with minimal assistance.

Required Hard Skills

• 4+ years as DevOps engineer
• Serverless compute, scripting, AWS
• Git, CI/CD tools, AWS CDK/Terraform/CDKTF
• Docker, Kubernetes, database administration (plus)
• Python, TypeScript
• Bachelor's in Computer Science or related
• Client interaction and team skills
• Autonomy, adaptability and positivity

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV written in English

Personality Profile

• Curious: Ambition to learn and grow into different industries with a modern tech stack.
• Autonomous and positive: We’re a fully remote, globally distributed team.
• Team player: Enjoy a collaborative approach.
• Adaptable: Operate with a startup mindset and move at a startup pace.

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.