13 of 13 Permanent Machine Learning Engineer Jobs in Berkshire

as we see tremendous possibility to impact operational planning within the sector. As a company handling heavy and critical data, we believe this is a perfect time for a Machine Learning Engineer to join our team. Who are we looking for? We are looking for a Machine Learning Engineer to enhance our platform by … Key Responsibilities Support research team to produtionize scalable NLP models using state-of-the-art techniques and frameworks Stay up-to-date with the latest advancements in NLP and machine learning, and apply new methodologies to improve existing models Deploy data science models on scalable AWS cloud infrastructures, ensuring best practices for security and performance Assist in Infrastructure More ❯

Senior Machine Learning Engineer Industry: Insurtech Company size: Approximately 200 employees Working environment: Hybrid (2 days a week in Central London) Salary: Up to £110K based on experience + bonus Are you passionate about building innovative technology solutions using cutting-edge AI? Do you want to play a critical role in shaping products that can make a … meaningful impact on people's lives? We're looking for an experienced Senior Machine Learning Engineer to join an exciting team that's reshaping their industry. This unique opportunity is focused specifically on AI Engineering, rather than traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including working with Large Language Models (LLMs). Design and deploy scalable, production-ready AI systems. Collaborate with product managers, data scientists, developers, and DevOps teams in a dynamic, cross-functional environment. Implement CI/CD practices, ensuring seamless and reliable model deployments. What More ❯

Location: London, UK (3 days in office) SC Cleared: Required Job Type: Full-Time Experience: 10 –15 years (Relevant exp 5+ years) Job Summary: We are seeking an experienced Machine Learning Engineer with expertise in big programmes and has contributed to the delivery of complex business cloud solutions. The ideal candidate will have a strong background in … Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform). Responsibilities: Collaborate with Data Scientists and operationalise the model with auditing enabled, ensure the run can be reproduced if needed. Implement Databricks best practices in building and maintaining economic modelling (Machine Learning) pipelines. Ensure the models are modular. More ❯

Hiring: Snr. Databricks ML Engineer Remote (UK-based) | Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. You’ll be someone who: Has deep … be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Role: Machine Learning Engineer Location: London, UK (Hybrid) Salary: £50k–£65k (DOE) Are you passionate about artificial intelligence, innovation, and building systems with real-world impact? Join a fast-paced innovation team working on cutting-edge compliance technology that integrates machine learning, generative AI, and multi-agent systems for the next generation of financial monitoring. … We're looking for a Machine Learning Engineer to support the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). You’ll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI. Your Responsibilities: Contribute to a New ML-Driven Platform … Build advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate with More ❯

supporting our clients’ policies. Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do. About the Role: We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data … s capabilities. If you thrive in a collaborative, fast-moving environment and want to make a real-world impact, we’d love to hear from you! Scope of Work: Machine Learning Engineering • Design, develop, evaluate, and deploy machine learning models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. … to data pipelines, ML workflows, and system reliability. • Ensure seamless integration of new ML models and data-driven features into production. Your Profile: Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data More ❯

Founding Machine Learning Engineer - AI Start-Up (On-Site | Equity + Salary) A rare opportunity to join one of London’s most exciting AI start-ups at the ground level! Backed by top-tier investors and led by a world-class founding team from Oxford, Cambridge, and Imperial, this company is pushing the boundaries of applied AI. … They’re now looking for a Founding Machine Learning Engineer to join the core technical team and lead the development of their ML systems from the ground up. About the Company: Founded by experienced operators with multiple AI start-up successes under their belts, this venture is already attracting serious attention. With strong financial backing and a … world problems. This is not just another AI start-up - it’s a company where cutting-edge research meets practical, scalable product development. The Role: As a founding ML engineer, you’ll be deeply involved in shaping the entire ML pipeline - from research and prototyping to model deployment and optimisation. You’ll work closely with product and engineering to More ❯

global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models … LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: Conduct and publish cutting-edge AI/ML research Design algorithms for chip optimization and intelligent systems Collaborate with engineering teams to integrate AI into real-world tools Stay current on AI trends and contribute to open research Requirements: PhD or equivalent experience in ML, AI … CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world More ❯

positioned to become largest disseminator of knowledge in the world. In fact, we're probably one of the largest already. Our platforms can be viewed here: We need a machine learning engineer to work in our growing, dynamic team. We are building internal products to help our team perform, execute and excel at their job. These tools … our content which help to inform and shape our future content pipeline. We are looking for an entrepreneurial mindset to optimise our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video data. You must be organised … for more than just a job. You should aspire to lead and own a media company one day as this position holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s performance; Building Interactive Dashboards More ❯

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements? Do you want the freedom to work with a diverse range of clients and be responsible for More ❯

About Ankar Innovation is the key to solving society's greatest challenges, and IP (intellectual property) plays a pivotal role in encouraging, driving, and capitalising on innovation. At Ankar AI, our mission is to empower IP and R&D teams More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting-edge cloud projects for prestigious clients? This organization has experienced continual strong growth since its founding. This exciting role involves designing, building, and delivering complex new solutions within a new function focused on AI and ML. … holiday allowance Flexible working options Excellent Healthcare and Pension Scheme Opportunities for career development and progression with support Performance Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will create ML models for deployment in the cloud and support Data Engineering, DataOps, and DevOps teams. You will work with the latest technology More ❯

We are recruiting on behalf of an ambitious new startup founded by an exceptional team of ex-big tech researchers and engineers. Based between London and SF, they’ve recently raised over $15M in pre-seed funding from world-class More ❯