376 to 400 of 3,366 Machine Learning Jobs in England

Job Title: ML Engineer (AI) Location: London (Hybrid – 3 days in office) Industry: Media, Campaign Media, AI/Data Tech: Python, Data engineering, pipelines, BigQuery, SnowFlake Salary: £60-70k *Unfortunately, Visa sponsorship is not on offer for this position. About the Role We’re hiring an AI Data Engineer to help build the next generation of intelligent analytics systems. … progression as the data team expands. Hybrid working with 3 days a week in our central London office. Annual learning budget for technical training, conferences, and AI/ML development. More ❯

Job Title: ML Engineer (AI) Location: London (Hybrid – 3 days in office) Industry: Media, Campaign Media, AI/Data Tech: Python, Data engineering, pipelines, BigQuery, SnowFlake Salary: £60-70k *Unfortunately, Visa sponsorship is not on offer for this position. About the Role We’re hiring an AI Data Engineer to help build the next generation of intelligent analytics systems. … progression as the data team expands. Hybrid working with 3 days a week in our central London office. Annual learning budget for technical training, conferences, and AI/ML development. More ❯

Job Title: ML Engineer (AI) Location: London (Hybrid – 3 days in office) Industry: Media, Campaign Media, AI/Data Tech: Python, Data engineering, pipelines, BigQuery, SnowFlake Salary: £60-70k *Unfortunately, Visa sponsorship is not on offer for this position. About the Role We’re hiring an AI Data Engineer to help build the next generation of intelligent analytics systems. … progression as the data team expands. Hybrid working with 3 days a week in our central London office. Annual learning budget for technical training, conferences, and AI/ML development. More ❯

Job Title: ML Engineer (AI) Location: London (Hybrid – 3 days in office) Industry: Media, Campaign Media, AI/Data Tech: Python, Data engineering, pipelines, BigQuery, SnowFlake Salary: £60-70k *Unfortunately, Visa sponsorship is not on offer for this position. About the Role We’re hiring an AI Data Engineer to help build the next generation of intelligent analytics systems. … progression as the data team expands. Hybrid working with 3 days a week in our central London office. Annual learning budget for technical training, conferences, and AI/ML development. More ❯

in the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machine learning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machine learning models to optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machine learning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize opportunities … practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker More ❯

in the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machine learning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machine learning models to optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machine learning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize opportunities … practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker More ❯

in the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machine learning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machine learning models to optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machine learning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize opportunities … practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker More ❯

in the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machine learning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machine learning models to optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machine learning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize opportunities … practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker More ❯

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded in 2023, the company has already secured significant … leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real … the product team, to identify and capitalise on high-impact opportunities Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: MSc in Machine Learning, Computer Science, or a related field 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation Strong software engineering skills More ❯

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded in 2023, the company has already secured significant … leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real … the product team, to identify and capitalise on high-impact opportunities Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: MSc in Machine Learning, Computer Science, or a related field 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation Strong software engineering skills More ❯

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded in 2023, the company has already secured significant … leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real … the product team, to identify and capitalise on high-impact opportunities Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: MSc in Machine Learning, Computer Science, or a related field 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation Strong software engineering skills More ❯

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded in 2023, the company has already secured significant … leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real … the product team, to identify and capitalise on high-impact opportunities Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: MSc in Machine Learning, Computer Science, or a related field 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation Strong software engineering skills More ❯

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded in 2023, the company has already secured significant … leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real … the product team, to identify and capitalise on high-impact opportunities Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: MSc in Machine Learning, Computer Science, or a related field 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation Strong software engineering skills More ❯

Overview Machine Learning/Artificial Intelligence Developer Dynamic Works launched in 2003 and has quickly grew into an award-winning, internationally recognized Unified Online Business Solutions Provider, creating a host of websites and web applications for the Financial Services Industry, the Republic of Cyprus Government, and for a host of other verticals for startups and highly influential international … value by thinking outside the box and implementing cutting-edge trends and innovations, we want to hear from you! We are currently looking to recruit a motivated and skilled Machine Learning AI Developer who is eager to make a real impact. If you are ready to be a key part of our team at our Nicosia office, we … would love to meet you and discuss how you can contribute to our success! The role: Design, develop, and implement machine learning models and AI algorithms in alignment with project-specific objectives. Engage in active collaboration with cross-functional teams, including data scientists, engineers, and product managers, to comprehend business requirements and pinpoint AI application opportunities. Undertake the More ❯

Machine Learning Research Engineer The company We are a rapidly growing startup developing solutions that utilise Virtual Agents to handle manual customer and marketplace operations tasks. Virtual agents blend deterministic Python code, LLM reasoning and agentic AI capabilities to undertake this work, along with a fallback to human experts. Our unique approach combines the strengths of human expertise … the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Research Engineer to help build and deliver a platform that can automatically create Virtual Agents for operational processes currently undertaken manually using browser-based UIs. An important … our customer-facing technical teams Utilise best-in-class capabilities to deliver these capabilities Research, invent and create novel capabilities where gaps in industry require it Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Contribute full-stack development, including software engineering, DevOps, and More ❯

Machine Learning Research Engineer The company We are a rapidly growing startup developing solutions that utilise Virtual Agents to handle manual customer and marketplace operations tasks. Virtual agents blend deterministic Python code, LLM reasoning and agentic AI capabilities to undertake this work, along with a fallback to human experts. Our unique approach combines the strengths of human expertise … the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Research Engineer to help build and deliver a platform that can automatically create Virtual Agents for operational processes currently undertaken manually using browser-based UIs. An important … our customer-facing technical teams Utilise best-in-class capabilities to deliver these capabilities Research, invent and create novel capabilities where gaps in industry require it Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Contribute full-stack development, including software engineering, DevOps, and More ❯

Integrate model training pipelines with third-party tools for experiment tracking, visualization, and performance monitoring. Prepare and process data — including structured and unstructured time-series data — for use in ML models. Bridge the gap between research and production, translating machine learning ideas into real-world trading applications. Collaborate across teams, sharing knowledge and presenting insights to data scientists … Science, or a related field. Strong understanding of deep learning algorithms, data structures, and software engineering principles. Experience building APIs (preferably FastAPI) and Python-based applications. Experience using ML frameworks (PyTorch, TensorFlow, etc.). Proficiency in handling complex datasets and time-series data. Ability to conduct independent research and clearly communicate findings. Desirable qualifications: MSc or PhD in AI … ML, Computer Science, or a related field. Understanding of Reinforcement Learning algorithms. Experience with cloud services (AWS, Azure, GCP). Familiarity with tools such as Kafka, Kubernetes, Prometheus, and Grafana. Interest or prior experience in financial markets. Why Join Us At Predictiva, you’ll have the chance to work at the intersection of AI research, financial innovation, and scalable More ❯

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £70 - 90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We … from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be … that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment and wider More ❯

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £70 - 90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We … from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be … that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment and wider More ❯

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £70 - 90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We … from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be … that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment and wider More ❯

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £70 - 90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We … from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be … that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment and wider More ❯

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £70 - 90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We … from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be … that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment and wider More ❯

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90 - 120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We … from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be … that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment and wider More ❯

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90 - 120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We … from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be … that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment and wider More ❯

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90 - 120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We … from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be … that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment and wider More ❯