Senior Machine Learning Engineer, Optimisation (Gurobi)

Do you want to join a Machine Learning team committed to enhancing the PlayStation

experience for hundreds of millions of users and also game studios? Are you passionate about solving complex constrained optimisation problems at scale? We are building advanced decision systems that drive pricing, promotion planning, and large-scale commercial strategy across the PlayStation ecosystem. These systems directly deliver highly impactful recommendations to our studios and have strong leadership sponsorship.

We are looking for an experienced engineer with deep expertise in mathematical optimisation and operational research, particularly using tools such as Gurobi or OR-Tools, to design and deploy production-grade optimisation systems. You will work within the ML teams in the DTIS organisation, on high-impact, executive-sponsored projects and collaborate closely with Product, Business, and others in Engineering, to transform complex business constraints into scalable solutions.

What You’ll Do

• Design and implement large-scale optimisation models using industry-standard
• solvers, such as Gurobi.

Build decision systems that:

• Incorporate predictive signals from machine learning models (e.g., forecasts and scoring models).
• Operate under multiple operational and business constraints.
• Automatically balance trade-offs across competing objectives.
• Improve existing workflows to maximise the core usage of the Gurobi solver and reduce
• job runtime
• Partner closely with ML engineers, product teams, and business stakeholders to integrate predictive models into downstream systems.
• Conduct scenario analysis and uplift forecast to support strategic planning.
• Mentor and guide junior machine learning engineers, providing technical leadership and
• raising the bar of technical quality.
• Thought-lead and influence technology strategy and product roadmap through OR/ML lens, contributing to the development and execution of overall OR/ML strategy.

You Bring:

• Advanced degree (Master’s or Ph.D.) in Operations Research/Applied Mathematics/Data Science, specialising in optimisation problems.
• Strong hands-on experience with Gurobi, OR-Tools.
• Industry experience building, deploying, and owning Gurobi or ORTools-driven optimisation systems in production.
• Strong programming skills in Python, Java, with experience integrating optimisation solvers into cloud-based backend systems
• Excellent communication skills and ability to bridge technical solutions with business objectives, to convey complex concepts to stakeholders with little knowledge of OR or ML.
• Experience working with outputs from machine learning models and incorporating them into downstream decision-making pipelines.
• Excellent resilience and problem-solving skills, with the ability to navigate through fast-changing conditions to land results.

Preferred Qualifications:

• Experience in promotion calendar optimisation using Gurobi.
• Experience with large-scale structured data manipulation and processing, using
• Databricks, PySpark, Snowflake.
• Experience in running online A/B testing for predictive models and improving relevant
• Experience working with custom ML platforms for continuous integration, deployment,and monitoring of machine learning models.
• Experience in the gaming industry.
• Experience working with cross-timezone teams.

Engineering Manager, Machine Learning

Do you want to lead a team building advanced decision systems that directly shape monetisation strategies across the PlayStation ecosystem? Are you passionate about combining machine learning and operational research to solve complex, high-impact business problems at scale? We are building systems that power decisions across a global catalogue of games, including base pricing across lifecycle stages of a game, while balancing revenue growth, player experience, and cannibalisation across titles.

We are looking for an experienced Machine Learning Engineering Manager to lead a hybrid team of Machine Learning engineers and Operations Research experts. You will work on high-impact, executive-visible initiatives, partnering closely with Product, Business, and Engineering teams to translate complex, ambiguous problems into scalable, production-ready systems.

What You’ll Do

Lead and grow a team of machine learning engineers and optimisation specialists, fostering collaboration across disciplines and raising the bar for technical excellence.

Build a high-performing, inclusive team by:

• Coaching and developing engineers across ML and OR disciplines
• Providing clear feedback, career growth, and performance management
• Hiring and retaining top talent

Improve large-scale optimisation systems that:

• Incorporate predictive signals from machine learning models (e.g., demand forecasting, item elasticity).
  
  
• Leverage optimisation frameworks using Gurobi to make decision recommendations under known business constraints.

Partner closely with Product, Business, and regional stakeholders to:

• Translate business goals and constraints into optimisation frameworks.
  
  
• Align on tradeoffs between short-term performance and long-term strategy.
  
  
• Resolve conflicting priorities through data-driven decision-making.

Ensure systems are explainable, trustworthy, and actionable by:

• Providing clear reasoning behind model-recommended decisions.
  
  
• Enabling debugging and traceability across ML and optimisation components.
  
  
• Driving adoption with business and product stakeholders.

You Bring:

• Deep understanding of the relevant ML and OR domains and infrastructure with a track record of delivering complex ML and OR systems into production.
• Proven strong experience leading and developing high-performing ML and OR teams, including: Growing engineers across different skill sets (Machine Learning, ML Infra, Operational Research); Driving career growth and performance evaluation; Hiring and retaining high-performing teams.
• Demonstrated ability to create a strong team culture with high accountability, creativity and continuous improvement.
• Ability to provide technical direction at the architecture level while fostering pragmatic, high-quality, high-velocity execution.
• Demonstrated success driving cross-functional initiatives that require influencing without direct authority, in fast-moving environments
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

• MS, or PhD in Computer Science, Machine Learning, Operational Research

Preferred Qualifications:

• Hands-on experience with tools such as Gurobi, Snowflake, Databricks, and PySpark.
• Experience in pricing, promotions or marketplace optimisation.
• Experience in modelling demand elasticity and forecasting.
• Experience in the gaming or digital content industry.
• Experience working with globally distributed functions and teams.

You came to Tenable for a career, not just a job. We want you to succeed in the role you have today, but also know there are opportunities for you to grow and develop professionally.

Your Role:

Tenable is looking for a Senior Software Engineer to join our Data Integrations team. Our team is focused on designing, developing, and maintaining state-of-the art solutions for data ingestion, data modelling and data serving within the Tenable One platform. As a Senior Software Engineer on the Data Integration team, you will have the opportunity to be part of implementing and maintaining a globally distributed and highly scalable cloud-native data platform using modern technologies and programming languages.

Your Opportunity:

• Work cross-functionally with other developers, product owners and various Tenable teams to design, develop and maintain cloud services for Data Platform services.
• Promote clear and simple software design while actively driving the team toward better practices and solutions.
• Support a true DevOps / CICD software delivery model.
• Promote high quality aimed at areas such as security, reliability, testability and
• maintainability.
• Drive innovation by contributing new ideas for our processes, tools, and technologies.
• Coach and mentor mid-level and junior staff.

What You'll Need:

• B.S. degree in Computer Science or a directly related field, or equivalent work experience.
• 5+ years of software development experience in enterprise-level, backend systems.
• Experience developing in languages such as: Java or Kotlin.
• Experience working and supporting cloud-native workloads specifically with Kubernetes, docker and container registries.
• Experience with infrastructure as code e.g. Terraform, CloudFormation.
• Strong experience with AWS services, including S3, DynamoDB, EC2, and Aurora,
• preferably via IAC, SDK and/or API.
• Experience with CI/CD pipelines and tools like Jenkins.
• Proficiency with Git for source code version control.
• Experience designing features end to end, including rollout and monitoring.
• Accountability for the behavior of your software in production.
• Experience in working in an Agile team, and an enthusiasm for working collaboratively within and across product teams.
• The ability to work independently and as a part of a team, and to lead/drive projects as necessary.
• Experience coaching and leading mid-level and junior staff in the design, implementation, and execution of highly technical development projects.
• The desire to continuously learn and be exposed to new technologies.

• Experience with data transfer and streaming technologies such as Kafka, Flink, NiFi, Kinesis, etc.
• Experience with cloud data platforms such as Snowflake, Databricks, Clickhouse, etc.
• Experience with data file formats like Parquet and Avro. Experience with Iceberg would be a plus.
• Understanding of SQL scripting and procedures with relational databases.
• History of open-source contributions.

#LI-AV1

#LI-Hybrid

We are seeking a proactive and impact-driven Learning & Development (L&D) Partner to design, deliver, and scale learning initiatives that support employee growth, leadership development, and organisational effectiveness. You will partner with leaders and teams across Tines to identify skills and capability gaps, implement learning solutions, and drive a culture of continuous development. 

This role requires one day per week on-site at our Dublin office.

Key Responsibilities

Learning Strategy & Execution

• Partner with Tines leadership to assess learning needs aligned to company goals.
• Design and deliver scalable learning programs across global locations
• Ensuring alignment with Tines’ company growth and talent priorities.

Program Design & Delivery

• Create and facilitate engaging learning experiences (including workshops, training events (for example Situational Leadership training), e-learning, coaching, and on-the-job learning).
• Facilitate sessions for employees and managers, both in-person and virtually.
• Manage external vendors and learning technology platforms (Easy Llama for example)
• Leverage automation (including Tines) to streamline L&D workflows, such as enrolment, feedback loops, and certification tracking.

Stakeholder Partnership

• Collaborate with functional leaders to tailor learning initiatives to team needs.
• Act as a trusted advisor to managers on development planning
• Partner with internal Subject Matter Experts (SMEs) by providing them with 'train-the-trainer' support to share technical knowledge effectively.

Performance & Career Development

• Support frameworks for career development, and high performance culture
• Enable managers to have effective development conversations and build high-performing teams.

Measurement & Impact

• Define success metrics for L&D initiatives and evaluate effectiveness through data, surveys and reporting metrics.
• Use insights to create meaningful dashboards to continuously improve programs and demonstrate ROI.

Culture & Engagement

• Champion a culture of continuous learning and psychological safety.
• Contribute to other broader People initiatives such as new hire onboarding that enhance employee experience. Own and optimize the new hire onboarding journey, ensuring a seamless transition that reduces 'time to productivity' for new joiners across all department

Required Experience & Skills

• 3–6 years of experience in Learning & Development, Talent Development, or related HR roles.
• Experience working in a fast-paced, scaling environment (ideally SaaS or technology).
• Proven track record of designing and delivering impactful learning programs.
• Proven ability to manage multiple complex projects simultaneously from inception to completion
• Strong instructional design and facilitation skills.
• Experience with modern learning tools and platforms
• Experience performing 'Needs Analysis' to determine if a problem requires a training solution or a process improvement.
• Experience designing content for a distributed, global workforce with an awareness of inclusive design.
• Ability to analyse data and translate insights into actionable improvements.
• Strong stakeholder management and influencing skills.
• Ability to align learning initiatives with business outcomes.
• Comfortable working cross-functionally with technical and non-technical teams.
• Highly collaborative and adaptable.
• Strong communication and storytelling skills.
• Growth mindset with a passion for developing others.

Qualifications

• Bachelor’s degree in HR (or related field)
• Relevant L&D certifications, or other coaching certifications.
• CIPD certification

#LI-SW1