We’re looking for a Machine Learning Engineer (Forward Deployed) to join a supportive, multidisciplinary team delivering real-world AI/ML systems into operational environments. In this role, you’ll lead software deployments, working closely with users and stakeholders to translate their problems into robust, production-ready machine learning solutions. You’ll rapidly explore, prototype, and deploy ML approaches both within and beyond our core product...
Mind Foundry
Oxford/ Hybrid
Associate Director, AI & Advanced Analytics
CSL's R&D organization is accelerating innovation to deliver greater impact for patients. With a project-led structure and a focus on collaboration, we’re building a future-ready team that thrives in dynamic biotech ecosystems. Joining CSL now means being part of an agile team committed to developing therapies that make a meaningful difference worldwide. Could you be our next Associate Director, AI...
Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 GoodMachine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit‑learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech |Do you want to work with a business building AI‑native data system that bring clarity and credibility to nature‑based...
Opus Recruitment Solutions
London
Machine Learning Engineer
Your Responsibilities: Design and deliver scalable AI and machine learning solutions across underwriting, risk, and operationsOwn the end-to-end ML lifecycle, from feature engineering to deployment and monitoringBuild and maintain data pipelines and production workflows using Python, TensorFlow, PyTorch, scikit-learn, AWS (S3, Lambda, SageMaker, Step Functions, Bedrock), Snowflake, and DataikuApply MLOps best practices, including CI/CD, automated testing, model versioning, and observabilityDefine...
The Recruitment Company
Waterford
Senior Machine Learning Engineer
Senior Machine Learning Engineer | Cambridge / Hybrid | £80,000–£120,000 + BonusJoin a fast-growing FinTech/InsurTech company in Cambridge that is transforming how financial and insurance products are built using machine learning and data-driven decision-making.Their platform leverages advanced ML models to power areas such as fraud detection, risk modelling, underwriting optimisation, and customer analytics, enabling smarter and faster decisions at scale.With...
Platform Recruitment
Cambridge
Senior Machine Learning Engineer
Senior Machine Learning Engineer6 month contractBased in BristolOffering circa £75ph Outside IR35Do 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...
Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience.
This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.
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.
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.
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