Data Engineer - ML Ops

Beam • Full-time • Bristol, United Kingdom, GB • 3w ago

Job Title: Data Engineer

Reporting To: Technical Architect

Location: Bristol - Hybrid 2+ days in office per week

Salary: £40,000 - £60,000 depending on skills and experience

We are looking for a Data Engineer with an MLOps focus to develop and optimize data pipelines that power AI-driven solutions for offshore wind and subsea technology. Reporting to the Technical Architect, you will play a key role in building scalable MLOps infrastructure, streamlining model deployment workflows, and ensuring efficient data management.

Your work will directly support our AI and geospatial platforms, helping to establish Beam as a leader in sustainable marine and renewable technologies.

This position makes a significant impact on the business by delivering efficient and accurate data processing and interpretation, enabling next-generation capabilities in autonomy and computer vision, and helping to establish Beam as a leader in sustainable marine and renewable technologies.

We’ll welcome your ideas & input and support your development, In addition, this is an incredible opportunity to help further the transition to renewable energy.

Objectives & Responsibilities:

Beam is an exciting and dynamic environment meaning these are likely to change as we grow. Upon joining your objectives and responsibilities will include:

Design, build, and maintain automated data pipelines for AI model training and inferenceImplement MLOps best practices, including model deployment, monitoring, and versioningDevelop and manage CI/CD pipelines to automate ML workflowsWork with containerization tools (Docker, Kubernetes) to optimize model deploymentCollaborate with ML Engineers to ensure seamless integration of models into productionEnsure data security, integrity, and compliance across AI applications

Key Projects & First 30/60/90 Days

First 30 Days: Understand existing data infrastructure, tools, and workflows. Establish collaboration with data scientists and engineers.

60 Days: Begin designing and implementing automated data pipelines and streamlining geospatial data flow.

90 Days & Beyond: Deliver production-ready pipelines for AI model training and geospatial analysis, optimizing performance and scalability.

You should apply if you have:

We know it’s tough, but please try to avoid the confidence gap. You don’t have to match all the listed requirements exactly to be considered for this role:

 Expertise with Linux operating systems.

Proven experience developing and testing complex solutions in Python.

Cloud-based development experience (AWS preferred).

Working with big data sets, databases, and data pipelines.

Writing production-level code with best practices, including Agile methodologies.

Experience with CI/CD pipelines, Git, and containerization (Docker).
Understanding of MLOps practices and tooling

Grow together with Beam where you will learn these skills or build on your expertise

  3D data processing, including mesh and point cloud
Experience with Kubernetes and distributed computing.
Knowledge of secure software development best practices

About Beam

At Beam, we bring the technology to transform offshore wind through AI and robotic automation, alongside the determination to tackle the significant challenges ahead. We’re committed to making the transition to renewable energy a reality.

Through industry-defining R&D and transformative partnerships, we’re reshaping what it means to work in offshore wind. Beam is making wind farm development more efficient, reducing risk, complexity and cost, while helping to cure an unsustainable dependence on oil and gas.

Check out the Latest Beam Updates

Together, we are Beam. And we’re leading the charge towards a sustainable future.

Benefits

People join Beam because they are excited by the possibility of leaving their own mark on the world and developing solutions that solve real world problems. Although we share the same vision, we value varied perspectives and adapt to fit different people from all walks of life. Not only does that make for a genuinely awesome team of colleagues, but it also makes day-to-day life more interesting, and it’s how we keep evolving and getting better at what we do.

We believe in flexibility, career growth, and a work culture that empowers you. Here’s what you get at Beam:

Flexible & hybrid working (up to 3 days from home).
33 days annual leave, increasing 2 days a year up to 43 days after 6 years.
Private medical insurance (including Dental & Optical and 4X Life Assurance).
Up to 10% company bonus & pension contributions up to 6%.
Curiosity Fund – £500 annually for personal development outside of work.
Volunteering day to give back to your community.
Enhanced Maternity & Adoption leave previous time with a new family
Cycle to work and get yourself a new bike.
Recognition & rewards for great work and living our values

Join Beam in our mission to make the world a cleaner, greener and safer place by deploying technology for good.

Interview Process

Our process is straightforward and transparent. We use anonymized recruitment to ensure fairness.

Apply: Submit your application & answer key questions.
Aptitude Test: Showcase your critical thinking & problem-solving skills.
Talent Partner Interview: Learn more about the role & discuss your experience.
Team Interview: Meet team members & discuss technology, skills, and challenges.
Executive Conversation: Meet with an executive leader to discuss expectations.
Offer! Join Beam and be part of something bigger.

We value the diversity of our teams and are committed to supporting and welcoming individuals from all backgrounds, knowing that every perspective is a valuable part of our success. Should you require any reasonable adjustment throughout the recruitment process, please do not hesitate to let a member of the Talent team know.

Dive into your future career at Beam, apply now