276 to 300 of 1,954 Machine Learning Jobs in the UK excluding London

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … and implement key safety metrics for generative AI (and in particular language) applications. Perform user research to understand the application’s risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices and expected to participate in code reviews. Liaise with other technical staff … and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … and implement key safety metrics for generative AI (and in particular language) applications. Perform user research to understand the application’s risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices and expected to participate in code reviews. Liaise with other technical staff … and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data More ❯

AI Software Developer (Python, JavaScript, ML) - London/Hybrid Day rate: £500 - £800 (inside IR35) Duration: 6 - 12 months Start: ASAP Hybrid: 3 days on site per week My client is looking for a Software Developer with AI, Python and JavaScript experience to join on a contract basis. As a Software Developer - AI, you will focus on the development and … to integrate AI models into digital products, ensuring seamless user experiences. Collaborate with AI specialists to test and deploy models, ensuring they meet performance, security and scalability requirements Continuous Learning and Improvement Stay up to date with the latest AI and machine learning technologies, incorporating new tools and techniques into your development work. Participate in agile team … meetings, providing input on sprint planning, task estimation, and iterative improvements Requirements: 3+ years of experience in software development, with exposure to AI or machine learning projects. Proficient in Python and JavaScript, ideally with hands-on experience in building Gen AI proof of concepts or integrating LLM APIs. Familiarity with AI platforms such as OpenAI, Anthropic, or Databricks. More ❯

Automation Engineer - ML Rate - £300 Inside IR35 Duration - 8 months Location - Cambridgeshire two/three times a week on site Apple is looking for a highly motivated engineer to work in a data capture and validation lab in our R&D office in Cambridge. You will be working side by side with ML algorithms teams to create automated processes to … will be 'hands-on', working with robotic, camera and lighting equipment. Candidates should have experience working with robotics or 3D geometrical problems, with supplementary exceptional software skills. Interest in machine learning, computer vision, software QA are desirable. This is a full-time position, candidates must be able to work from our Cambridge office the majority of the time. … Minimum qualification: 3+ years working in industry, with experience in software or robotics. Expertise in developing autonomous robotic solutions. Expertise in 3D geometry. Exceptional software engineering skills. Interest in Machine Learning or Computer Graphics is preferable. Comfortable with hands-on practical tasks, working in a lab environment. Reasonable Adjustments: Respect and equality are core values to us. We More ❯

Automation Engineer - ML Rate - £300 Inside IR35 Duration - 8 months Location - Cambridgeshire two/three times a week on site Apple is looking for a highly motivated engineer to work in a data capture and validation lab in our R&D office in Cambridge. You will be working side by side with ML algorithms teams to create automated processes to … will be 'hands-on', working with robotic, camera and lighting equipment. Candidates should have experience working with robotics or 3D geometrical problems, with supplementary exceptional software skills. Interest in machine learning, computer vision, software QA are desirable. This is a full-time position, candidates must be able to work from our Cambridge office the majority of the time. … Minimum qualification: 3+ years working in industry, with experience in software or robotics. Expertise in developing autonomous robotic solutions. Expertise in 3D geometry. Exceptional software engineering skills. Interest in Machine Learning or Computer Graphics is preferable. Comfortable with hands-on practical tasks, working in a lab environment. Reasonable Adjustments: Respect and equality are core values to us. We More ❯

manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best practices for data management, including versioning, security … a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving … skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage and processing solutions. Passion for contributing to the development of More ❯

manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best practices for data management, including versioning, security … a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving … skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage and processing solutions. Passion for contributing to the development of More ❯

manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best practices for data management, including versioning, security … a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving … skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage and processing solutions. Passion for contributing to the development of More ❯

Role: Senior AI/ML Scientist – Personalization & GenAI (Dubai based) Join a high-performing Data Science team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll help define the future … strategies powered by data and AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning … across cross-functional teams. Define, implement, and monitor key performance metrics for AI-driven product features. Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master More ❯

Role: Senior AI/ML Scientist – Personalization & GenAI (Dubai based) Join a high-performing Data Science team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll help define the future … strategies powered by data and AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning … across cross-functional teams. Define, implement, and monitor key performance metrics for AI-driven product features. Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master More ❯

Role: Senior AI/ML Scientist – Personalization & GenAI (Dubai based) Join a high-performing Data Science team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll help define the future … strategies powered by data and AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning … across cross-functional teams. Define, implement, and monitor key performance metrics for AI-driven product features. Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master More ❯

a senior hire to help shape the future of its data science function. What You’ll Be Doing Lead the design, development, and deployment of production-grade AI/ML models with tangible business impact Own and drive data initiatives across demand prediction, optimisation, and computer vision Collaborate with cross-functional teams to embed machine learning solutions into … the core product Provide technical leadership and mentorship to junior and mid-level data scientists Influence data architecture and support backend infrastructure (Python/Django/Go) for scalable ML deployment Play a strategic role in shaping the future direction of data science within the business What We’re Looking For 4+ years of experience in a Data Science or … of delivering value through AI Strong academic background; a PhD in a relevant field (e.g., Computer Science, Applied Mathematics, Engineering) is highly preferred Demonstrated ability to deploy production-level ML models—particularly in optimisation, demand forecasting, or computer vision Advanced proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of supervised and unsupervised learning More ❯

a senior hire to help shape the future of its data science function. What You’ll Be Doing Lead the design, development, and deployment of production-grade AI/ML models with tangible business impact Own and drive data initiatives across demand prediction, optimisation, and computer vision Collaborate with cross-functional teams to embed machine learning solutions into … the core product Provide technical leadership and mentorship to junior and mid-level data scientists Influence data architecture and support backend infrastructure (Python/Django/Go) for scalable ML deployment Play a strategic role in shaping the future direction of data science within the business What We’re Looking For 4+ years of experience in a Data Science or … of delivering value through AI Strong academic background; a PhD in a relevant field (e.g., Computer Science, Applied Mathematics, Engineering) is highly preferred Demonstrated ability to deploy production-level ML models—particularly in optimisation, demand forecasting, or computer vision Advanced proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of supervised and unsupervised learning More ❯

Agentic AI and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use of AI and adherence to data privacy regulations. Essential Skills and Experience Experienced in data science, machine learning and AI and delivering AI-driven solutions using a variety of tools and techniques Proficient in programming languages such as Python and familiar with data science, AI More ❯

Agentic AI and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use of AI and adherence to data privacy regulations. Essential Skills and Experience Experienced in data science, machine learning and AI and delivering AI-driven solutions using a variety of tools and techniques Proficient in programming languages such as Python and familiar with data science, AI More ❯

Agentic AI and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use of AI and adherence to data privacy regulations. Essential Skills and Experience Experienced in data science, machine learning and AI and delivering AI-driven solutions using a variety of tools and techniques Proficient in programming languages such as Python and familiar with data science, AI More ❯

Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product … embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED … learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining More ❯

Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product … embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED … learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining More ❯

Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product … embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED … learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining More ❯

x Senior Data Scientists | London | Financial Services 📍 London (Hybrid) 💰 Up to £100,000 + Equity + Private Health 🧑 💻 Machine Learning | Data Science Libraries | Deep Learning Frameworks | AI Our client partners with some of the world’s leading financial institutions to deliver innovative, data-driven solutions that transform decision-making and operational performance. From major banks and asset … managers to insurers and fintech disruptors, they help their clients harness the power of advanced analytics, machine learning, and AI to stay competitive in a rapidly evolving industry. *If you’re looking for an opportunity to shape the future of applied AI in this sector, this is your chance.* ROLE: Senior Data Scientist We’re looking for … ll also act as a trusted advisor to clients, working closely with senior stakeholders to shape strategy and deliver measurable business outcomes. What You’ll Bring 🔥Deep knowledge of ML/statistical methods (e.g. supervised/unsupervised, Bayesian, time-series). ⚙️Strong Python skills with core libraries (NumPy, Pandas, Scikit-Learn) plus deep learning frameworks (PyTorch, TensorFlow). 🚀Strong More ❯

x Senior Data Scientists | London | Financial Services 📍 London (Hybrid) 💰 Up to £100,000 + Equity + Private Health 🧑 💻 Machine Learning | Data Science Libraries | Deep Learning Frameworks | AI Our client partners with some of the world’s leading financial institutions to deliver innovative, data-driven solutions that transform decision-making and operational performance. From major banks and asset … managers to insurers and fintech disruptors, they help their clients harness the power of advanced analytics, machine learning, and AI to stay competitive in a rapidly evolving industry. *If you’re looking for an opportunity to shape the future of applied AI in this sector, this is your chance.* ROLE: Senior Data Scientist We’re looking for … ll also act as a trusted advisor to clients, working closely with senior stakeholders to shape strategy and deliver measurable business outcomes. What You’ll Bring 🔥Deep knowledge of ML/statistical methods (e.g. supervised/unsupervised, Bayesian, time-series). ⚙️Strong Python skills with core libraries (NumPy, Pandas, Scikit-Learn) plus deep learning frameworks (PyTorch, TensorFlow). 🚀Strong More ❯

x Senior Data Scientists | London | Financial Services 📍 London (Hybrid) 💰 Up to £100,000 + Equity + Private Health 🧑 💻 Machine Learning | Data Science Libraries | Deep Learning Frameworks | AI Our client partners with some of the world’s leading financial institutions to deliver innovative, data-driven solutions that transform decision-making and operational performance. From major banks and asset … managers to insurers and fintech disruptors, they help their clients harness the power of advanced analytics, machine learning, and AI to stay competitive in a rapidly evolving industry. *If you’re looking for an opportunity to shape the future of applied AI in this sector, this is your chance.* ROLE: Senior Data Scientist We’re looking for … ll also act as a trusted advisor to clients, working closely with senior stakeholders to shape strategy and deliver measurable business outcomes. What You’ll Bring 🔥Deep knowledge of ML/statistical methods (e.g. supervised/unsupervised, Bayesian, time-series). ⚙️Strong Python skills with core libraries (NumPy, Pandas, Scikit-Learn) plus deep learning frameworks (PyTorch, TensorFlow). 🚀Strong More ❯

and Manchester. Mix office and home working with our hybrid working policy. Qualifications Earn industry-recognised certifications such as Google Cloud Platform (GCP) and Microsoft Azure. Develop a personalised learning plan that reflects your career goals, alongside in-house training in Engineering the Lloyds Way. Build Tech That Millions Rely On With 22 million digitally active customers and a … day. Youll focus on engineering, development, and deployment the practical build of the solutions that bring ideas to life. One important note: if your passion lies in AI and machine learning, this isnt the scheme for you. Those roles sit within our Data Science and AI Graduate Scheme. Two years. Real impact Aligned to one platform (like Cloud … through graduate feedback and innovation challenges. Support to succeed Youll get: In-house training on Engineering the Lloyds Way. A buddy and experienced mentors to guide you through. Agile learning culture with access to Viva Learning, Learning Management Systems and on-demand courses. Networking opportunities with colleagues across the Group. It all adds up to targeted training More ❯

technology, and mission-driven impact on the world of sport. The Opportunity: They are now looking for a Senior Applied Researcher/Data Scientist to join a high-performing Machine Learning team that’s building AI solutions at scale for real-world applications in sports. You'll apply state-of-the-art techniques in computer … vision and deep learning to solve complex challenges, deliver meaningful insights, and shape the next generation of sports technology. What You’ll Do: Design, build, and deploy scalable ML systems used in live sports scenarios across 40+ sports and thousands of events globally. Collaborate closely with engineers and data scientists to develop end-to-end solutions that deliver real … in computer vision and machine learning, especially in areas like: Multi-object tracking Event detection Multi-view geometry Deep learning-based video analysis Proven experience bringing ML products from concept to production at scale. Excellent communication skills with the ability to explain technical concepts clearly to cross-functional teams. Have experience leading projects from a technical perspective. More ❯

technology, and mission-driven impact on the world of sport. The Opportunity: They are now looking for a Senior Applied Researcher/Data Scientist to join a high-performing Machine Learning team that’s building AI solutions at scale for real-world applications in sports. You'll apply state-of-the-art techniques in computer … vision and deep learning to solve complex challenges, deliver meaningful insights, and shape the next generation of sports technology. What You’ll Do: Design, build, and deploy scalable ML systems used in live sports scenarios across 40+ sports and thousands of events globally. Collaborate closely with engineers and data scientists to develop end-to-end solutions that deliver real … in computer vision and machine learning, especially in areas like: Multi-object tracking Event detection Multi-view geometry Deep learning-based video analysis Proven experience bringing ML products from concept to production at scale. Excellent communication skills with the ability to explain technical concepts clearly to cross-functional teams. Have experience leading projects from a technical perspective. More ❯