Current jobs related to Senior MLOps/GenAI Infrastructure Engineer - London, Greater London - hackajob

  • Sr. MLOps Engineer, GenAI

    1 week ago

    London, Greater London, United Kingdom talabat Full time £60,000 - £120,000 per year

    Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat's local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.We harness innovative technology and...

  • GenAI Platform Engineer II

    1 week ago

    London, Greater London, United Kingdom GSK Full time £80,000 - £120,000 per year

    The Onyx Research Data Tech organization is GSK's Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data...

  • GenAI Platform Engineer II

    1 week ago

    London, Greater London, United Kingdom GSK Full time £80,000 - £120,000 per year

    The Onyx Research Data Tech organization is GSK's Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data...

  • Senior MLOps Engineer

    1 week ago

    London, Greater London, United Kingdom Intapp Full time £80,000 - £120,000 per year

    About Intapp:Intapp, based in Silicon Valley, is a leader in Vertical AI SaaS solutions, collaborating with the world's top firms globally across accounting, consulting, investment banking, legal, private capital, and real assets. With 20+ years of industry expertise, Intapp's "Intelligence Applied" approach is transforming how businesses operate and...

  • GenAI Platform Engineer II

    1 week ago

    London, Greater London, United Kingdom GSK Full time £120,000 - £180,000 per year

    The Onyx Research Data Tech organization is GSK's Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data...

  • MLOps Engineer

    2 weeks ago

    London, Greater London, United Kingdom Ash by Slingshot AI Full time £80,000 - £120,000 per year

    Slingshot AISlingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want.We're building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast,...

  • GenAI Platform Engineer

    5 days ago

    London, Greater London, United Kingdom E Next Full time £100,000 - £180,000 per year

    We are maintaining and enhancing our Generative AI Platform that enables our entire organisation to leverage Generative AI safely, efficiently and at scale. As a Generative AI Platform Engineer, you will be the force multiplier, moving beyond building end-user applications to developing robust, centralised services that power all internal GenAI product...

  • AI Engineer – LLM/GenAI

    3 days ago

    London, Greater London, United Kingdom Bolt Insight Full time

    Location: Hybrid (London Office)Salary: Competitive About UsWe are an AI-powered consumer intelligence company transforming qualitative research through cutting-edge automated moderation and real-time insight generation. Our platform is powered by advanced Large Language Models (LLMs), GenAI-driven analytics, and a modern cloud data ecosystem across AWS,...

  • AI Engineer – LLM/GenAI

    5 days ago

    London, Greater London, United Kingdom Bolt Insight Full time £80,000 - £120,000 per year

    Location:Hybrid (London Office)Salary:CompetitiveAbout UsWe are an AI-powered consumer intelligence company transforming qualitative research through cutting-edge automated moderation and real-time insight generation. Our platform is powered by advanced Large Language Models (LLMs), GenAI-driven analytics, and a modern cloud data ecosystem across AWS, Azure,...

  • Sr. Data Engineer – Industry 4.0

    1 week ago

    London, Greater London, United Kingdom Cognizant Technology Solutions Full time £80,000 - £120,000 per year

    JD: Sr. Data Engineer – Industry 4.0We are hiring a senior Data Engineer to lead the development of intelligent, scalable data platforms for Industry 4.0 initiatives. This role will drive integration across OT/IT systems, enable real-time analytics, and ensure robust data governance and quality frameworks. The engineer will collaborate with...

Senior MLOps/GenAI Infrastructure Engineer

3 weeks ago

London, Greater London, United Kingdom hackajob Full time £50,000 - £70,000 per year

hackajob*
is collaborating with
BBC
to connect them with exceptional tech professionals for this role.*
Job Details**

  • Job Title: Senior MLOps/GenAI Infrastructure Engineer
  • Location: London / Salford / Glasgow / Newcastle / Cardiff (This is a hybrid role and the successful candidate will balance office working with home working)
  • Band: D
  • Salary: up to £59,600 - £69,800 (The expected salary range for this role reflects internal benchmarking and external market insights.)

We're happy to discuss flexible working. Please indicate your preference under the flexible working question in the application. There's no obligation to raise this at the application stage, but if you wish to do so, you're welcome to. Flexible working will be part of the discussion at offer stage.

Purpose Of The Role
Step into the world of the BBC, one of the UK's most iconic and beloved brands, where every working day is as unique as it is rewarding. Every tick of the clock, our content reaches millions of people globally, which is made possible by our top-notch Software Engineering team. They've been instrumental in pioneering innovative products and unique features that have firmly positioned us at the forefront of our industry. We don't merely adapt to an ever-changing world - we set the pace.

With this role you'll be at the heart of an exciting journey, crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build, collaborate on, manage, and maintain their machine learning platforms at scale.

You will play a key role in driving our ambition to build an outstanding software engineering team, environment, and culture. We are looking for a Senior Engineer to join our tech community to drive this transformation, build a modern digital ecosystem using exciting technologies and do the best work of their careers.

Your Key Responsibilities And Impact

  • Designing, developing, and maintaining tools that support data science and MLOps/LLMOps workflows.
  • Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock
  • Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments.
  • Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild, Jenkins.
  • Integrate monitoring and observability tools such as AWS CloudWatch, Prometheus, Grafana for infrastructure and model health tracking.
  • Ensure software quality through Test-Driven Development (TDD), unit testing frameworks (e.g., pytest, unittest), and automated integration tests.
  • Conduct regular code reviews, participate in pair programming, and advocate for clean code, modular design, and maintainable architecture.
  • Collaborate with architects and stakeholders to design high-level system architecture for cloud-first, AI-integrated products.
  • Enforce security best practices (IAM, encryption, VPC configuration, audit logging) using AWS native services and third-party tools.
  • Embed security throughout the software development lifecycle by integrating static and dynamic code analysis, vulnerability scanning, and policy-as-code tools into CI/CD pipelines—ensuring DevSecOps principles are applied from design to deployment.
  • Promote a culture of continuous learning and knowledge-sharing through comprehensive documentation, technical deep dives, brown bag sessions, internal workshops, and active mentorship of team members.

Your Skills And Experience

  • Extensive experience of DevOps/MLOps experience with a strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies
  • Experience with cloud services, especially Amazon Web Services (AWS) - SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS.
  • Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation.
  • Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines.
  • Proven experience building, containerising, and deploying using Docker and Kubernetes.
  • Hands-on experience with CI/CD tools (GitHub Actions, CodePipeline, Jenkins) and version control using Git/GitHub.
  • Strong understanding of DevOps concepts including blue/green deployments, canary releases, rollback strategies, and infrastructure automation.
  • Familiarity with security and compliance practices for cloud-hosted applications.
  • Excellent debugging, troubleshooting, and optimisation skills across the stack.
  • Solid understanding of machine learning lifecycle and serving LLMs in production environments.

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Certifications such as AWS Certified DevOps Engineer, AWS ML Engineer, AWS Certified Solutions Architect,
  • Strong communication skills, with experience working in Agile teams (Scrum, Kanban) and cross-functional collaboration.
  • Contributions to open-source GenAI, MLOps, or LLMOps projects or communities is a strong plus.