Machine Learning Operations (ML Ops) Engineer...

Machine Learning Operations (MLOps) Engineer The full
job description covers all associated skills, previous experience,
and any qualifications that applicants are expected to have.
Flexible Location – Ipswich, London or Selby Permanent, full time
Closing date - 2 July 2025 Who we are We’re not just talking about
making a difference, we’re making it happen. We generate
dispatchable, renewable power and create stable energy in an
uncertain world. Building on our proud heritage, we have ambition
to become the global leader in sustainable biomass and carbon
removals. You’ll be joining our teams of practical doers, future
thinkers and business champions. We’re enabling a zero carbon,
lower cost energy future for all, and working hard to decarbonise
the planet for generations to come. About the role As a Machine
Learning Operations (MLOps) Engineer, you’ll be responsible for
managing, releasing and monitoring Machine Learning (ML) and
Artificial Intelligence (AI) artefacts using automated frameworks.
You’ll also optimise ML/AI code written by our Data Scientists into
Production-ready software according to agreed performance and cost
criteria. You’ll play a key role ensuring that ML/AI projects are
setup for success via the automation of residual manual steps in
the development and production lifecycle. You’ll also provide
essential insights into the ongoing predictive capability and cost
of deployed ML/AI assets using language and visualisations
appropriate for your audience. It’s an opportunity to work across
multiple projects concurrently. You’ll use your judgement to
determine which projects and teams need most of your time. You’ll
contribute to early engagements through strong communication
skills, domain experience and knowledge gathered throughout your
career. This role requires you to have adept time-management and
prioritisation skills to keep on top of your responsibilities.
You’ll use your cross-project exposure to feedback to the Data
& Data Science Leadership Team to guide understanding, improve
consistency, and develop & implement initiatives to improve the
community for the future. Who we’re looking for You’ll need strong
experience delivering and monitoring and scalable ML/AI solutions
via automated ML Ops. Ideally, you’ll also be technically skilled
in most or all of the below: - Expert knowledge of Python and SQL,
inc. the following libraries: Numpy, Pandas, PySpark and Spark SQL

• Expert knowledge of ML Ops frameworks in the following
  categories: a) experiment tracking and model metadata management
  (e.g. MLflow) b) orchestration of ML workflows (e.g. Metaflow) c)
  data and pipeline versioning (e.g. Data Version Control) d) model
  deployment, serving and monitoring (e.g. Kubeflow) - Expert
  knowledge of automated artefact deployment using YAML based CI/CD
  pipelines and Terraform - Working knowledge of one or more ML
  engineering frameworks (e.g. TensorFlow, PyTorch, Keras,
  Scikit-Learn) - Working knowledge of object-oriented programming
  and unit testing in Python - Working knowledge of application and
  information security principles and practices (e.g. OWASP for
  Machine Learning) - Working knowledge of Unix-based CLI commands,
  source control and scripting - Working knowledge of
  containerisation (e.g. Docker) and container orchestration (e.g.
  Kubernetes) - Working knowledge of a cloud data platform (e.g.
  Databricks) and a data lakehouse architecture (e.g. Delta Lake) -
  Working knowledge of the AWS cloud technology stack (i.e. S3, Glue,
  DynamoDB, IAM, Lambdas, ELB, EKS) Rewards and benefits As you help
  us to shape the future, we’ve shaped our rewards and benefits to
  help you thrive and support your lifestyle: - Competitive salary -
  Discretionary group performance-based bonus - 25 days annual leave
  (plus Bank Holidays) - Single cover private medical insurance -
  Pension scheme We’re committed to making a tangible impact on the
  climate challenge we all face. Drax is where your individual
  purpose can work alongside your career drive. We work as part of a
  team that shares a passion for doing what’s right for the future.
  With Drax you can shape your career and a future for generations to
  come. Together, we make it happen. At Drax, we’re committed to
  fostering an environment where everyone feels valued and respected,
  regardless of their role. To make this a reality, we actively work
  to better represent the communities we operate in, foster
  inclusion, and establish fair processes. Through these actions, we
  build the trust needed for all colleagues at Drax to contribute
  their perspectives and talents, no matter their background. Find
  out more about our approach here. How to apply Think this role’s
  for you? Click the ‘apply now’ button to begin your Drax journey.
  If you want to find out more about Drax, check out our LinkedIn
  page to see our latest news. We understand that you may have some
  additional questions about the role. If you’d like to have a
  confidential chat to discuss the role in more detail, please email
  We reserve the right to close roles early when the
  particular role and / or location has had sufficient
  applications.