Senior Machine Learning Engineer

Advanced Resource Managers
Bristol
2 days ago
Create job alert

Senior Machine Learning Engineer

6 month contract

Based in Bristol

Offering circa £75ph Outside IR35


Do you have experience designing, building, and optimising ML models?

Do you have experience in Python and ML frameworks?

Do you want to work with an industry-leading company?


If your answer to these is yes, then this could be the role for you!

As the Senior Machine Learning Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry.

Do you the nature of the work you will be invoved in, you will be required to go through MOD SC clearance.


You will be involved in:

  • Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics
  • Own the ML lifecycle from data preparation through training, evaluation, and deployment
  • Implement and maintain MLOps workflows for continuous integration and delivery of ML models
  • Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability
  • Contribute to architecture decisions for ML pipelines and data flows
  • Apply secure coding and configuration practices in line with compliance standards
  • Mentor junior engineers and share best practices across the team
  • Support innovation by researching emerging ML techniques and tools


Your skillset may include:

  • ML Development Expertise: Hands-on experience building and deploying ML models
  • Lifecycle Ownership: Ability to manage ML workflows from design to production
  • Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling
  • Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration
  • Governance & Compliance: Familiarity with secure coding and quality assurance standards
  • Collaboration & Mentoring: Ability to work across teams and support junior engineers
  • Continuous Improvement: Commitment to learning and applying emerging ML techniques


If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further!

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.