Machine learning jobs in Birmingham - Page 5Crear alertas

Senior Machine Learning Engineer. The chance to take significant ownership of production Machine Learning in a live system. Long-term role with the opportunity to influence the Machine Learning roadmap and system design.

Computer Science, Machine Learning, or a closely related discipline. Machine Learning Research Engineer - LLM post-training/mid-training. Strong grasp of transformer architectures, optimization techniques, and representation learning principles.

Wanting to turn advanced machine learning into dependable production systems, you will shape technical delivery and drive real-world impact for clients. This role involves designing and delivering robust machine-learning systems from concept to live operation, develop shared approaches that speed up

Lead Machine Learning Engineer – Conversational AI Platform.

Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000. If you are interested in the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1

Machine Learning Engineer - Contract (Financial Services, Outside IR35). Design, build, and deploy machine learning models into production within a Financial Services environment.

We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pip

We are working with a fully remote gaming and entertainment business that is scaling its data and machine-learning capabilities. With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems a

We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pip

Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Machine Learning Senior Staff Engineer.

We are looking for an excellent ML Ops Engineer to join our research and development team.Key ResponsibilitiesThis opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML O

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Lead Machine Learning

We are looking for an excellent ML Ops Engineer to join our research and development team.This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack.This

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Demonstrated expertise in the full lifecycle of mac

We are seeking a senior machine learning engineer to help build the models that underpin these control systems and help us level up our machine learning infrastructure. Fundamentals of Machine Learning - A discussion with members of the machine learning team around some of the fundamentals of ML and

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Lead Machine Learning Engineer. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content

Design, build, and optimize machine learning models for classification, prediction, NLP, recommendation, or generative tasks. At least 2 years of full-time experience in machine learning model development. Demonstrated competitive machine learning experience (Kaggle, DrivenData, or equivalent).

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Lead Machine Learning

This Edtech Start-up in London is building something transformative in education using cutting-edge machine learning.

As a Machine Learning Engineer at Typeform, your mission will be to design, develop, and deploy scalable machine learning systems that enable Typeform to deliver more personalized and impactful experiences. Machine Learning Engineer role at Typeform. Within that charter, our Data Science practice fo

Machine Learning EngineerRemote (EMEA)October 8, 2025### Job DescriptionAbout the RoleDesign, train, and deploy ML models to production to solve real business problems.

We’re looking for a MLOps Engineer to help us operationalize machine learning at scale. Access a vast range of courses through our learning platform and benefit from structured career progression plans to support your growth.

We are delighted to be hiring a Staff Machine Learning Scientist for the AI Agent product at Zendesk. Degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, etc. Proven record of Machine Learning or NLP research, ideally in industry.

Quantitative Researcher (Machine Learning). Engineering Lead - Machine Learning Platform. Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI).

We have multiple contract opportunities for a Machine Learning Consultant to join the trading arm of an oil and gas major. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Get notified about new Machine Learning Consultant jobs in.

Machine Learning models, with a significant focus on Reinforcement Learning. Oversee the production and optimization of machine learning models aiming to assess Waymo’s expansive fleet of vehicles that cumulatively travel millions of miles. Computer Science, Machine Learning, Artificial Intelligen

Experience applying machine learning to computational physics, chemistry, or materials science. Postdoctoral Scientist (Machine Learning). Join Quantemol to advance the frontiers of plasma science through the application of machine learning.

Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications. Get notified about new Machine Learning Engineer jobs in London Area, United Kingdom. Mentor junior colleagues and share learnings across the team.

As a Machine Learning Engineer III on this team, you will design and implement scalable machine learning systems that optimize ad selection, campaign performance, and creative personalization at a global scale. Design, implement, and maintain large-scale machine learning pipelines for advertising us

Your work will influence long‑term platform evolution and help shape the architecture, software stack and tooling that underpins large‑scale machine learning computation. Strong understanding of one or more deep learning frameworks, such as PyTorch.

Computer Science, Machine Learning, or a closely related discipline. Machine Learning Research Engineer - LLM post-training/mid-training. Strong grasp of transformer architectures, optimization techniques, and representation learning principles.

PhD in Computer Science or Machine Learning preferred. Deep knowledge of modern deep‑learning architectures, optimisation, and tooling. Experience designing, training, and evaluating deep learning systems.

Machine Learning, LLMs, AWS, Python, RAG, GraphRAG, Text processing, Vector Similarity Searches.

Experience with large‑scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit‑learn, or related frameworks. Experience with machine learning ranking infrastructures and system design. Strong background in Machine Learning.

As a Machine Learning Engineer in Scarlet’s Applied Machine Learning team, you will have the opportunity to work with some of the brightest minds in AI medical devices. Solid understanding of machine learning, statistics, and deep learning fundamentals. The Applied Machine Learning team at Scarlet

A leading gaming company in Greater London is seeking a Machine Learning Engineer to innovate and push technological boundaries within game development. This role involves designing machine learning models, contributing to research, and collaborating with diverse teams. Competitive compensation and

Own machine learning systems that communicate network status to consumers, including delivery time estimates and restaurant availability. A strong and supportive data science and machine learning community. Excellent learning and development opportunities and access to RooLearn, our learning platfor

The programme is replacing legacy, rule‑based systems with machine learning‑driven intelligence to improve transaction monitoring, customer risk profiling, demand and liquidity forecasting, and payment decisioning across millions of daily events. We’re seeking a Senior Machine Learning Enginee

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000. The Role of Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000. Our clie

Advanced proficiency in Python and familiarity with AI and machine learning libraries (e. Demonstrated leadership experience in AI and machine learning projects. Lead the development and deployment of advanced AI and machine learning models to support and enhance our workflows.

Expertise in Machine Learning and Data Science. Get notified about new Machine Learning Engineer jobs in. Fine‑tune LLMs for domain‑specific use cases using reinforcement learning techniques (PPO, GRPO, DPO…).

Statistical Methodology: you have worked with GLMs and other machine learning algorithms and have in‑depth knowledge of how they work. We are looking for a Lead Machine Learning Engineer to play a key role in our Core Pricing team.

You will be responsible for designing, implementing and optimising novel machine learning models and algorithms to perform challenging and diverse tasks. Work with cross‑functional teams to deploy machine learning models in production environments, solving issues and ensuring scalability and perfo

AI / Machine Learning Engineer. This is your chance to work on cutting‑edge projects that harness artificial intelligence and machine learning to drive innovation and deliver impactful solutions. Design, develop, and deploy machine learning models and AI solutions for real‑world applications.

A leading AI solutions company is seeking a Lead Machine Learning Engineer to shape the future of energy transition projects.

Master's or PhD in Computer Science, Machine Learning, or related technical discipline. As the Staff Machine Learning Engineer (VP) on the ML Engineering team, you will be responsible for designing, deploying, and scaling advanced ML systems that power core business functions across the enterprise.

Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications. Do you want to join an innovative team of scientists who use machine learning and statistical techniques to cr

A leading gaming company in London is seeking a Machine Learning Engineer to advance techniques in imitation learning and game technology. The ideal candidate will have a Master's or PhD in a related field, with at least 2 years of experience in machine learning and publications in the area.