526 to 550 of 1,944 Machine Learning Jobs in the UK excluding London

client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push … Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities … computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. More ❯

client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push … Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities … computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. More ❯

client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push … Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities … computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. More ❯

s transition and adoption strategy. Git/Azure DevOps: Skilled in version control, release management, and CI/CD. Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics. ChatGPT/Copilot Integrations (Desirable): Experience leveraging AI for data automation and insight generation. Soft Skills Strong leadership and mentoring capability to support and develop junior More ❯

s transition and adoption strategy. Git/Azure DevOps: Skilled in version control, release management, and CI/CD. Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics. ChatGPT/Copilot Integrations (Desirable): Experience leveraging AI for data automation and insight generation. Soft Skills Strong leadership and mentoring capability to support and develop junior More ❯

s transition and adoption strategy. Git/Azure DevOps: Skilled in version control, release management, and CI/CD. Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics. ChatGPT/Copilot Integrations (Desirable): Experience leveraging AI for data automation and insight generation. Soft Skills Strong leadership and mentoring capability to support and develop junior More ❯

Senior Software Engineer II – ML Platform & GenAI (relocation to dubai) Location: Dubai, United Arab Emirates As part of the Machine Learning Platform & Generative AI Applications team, this role sits at the intersection of engineering, data science, and product development. The team builds the foundational tools that power intelligent and engaging user experiences across multiple business verticals. This is … experience in software engineering with strong design principles and system architecture knowledge. Proficiency in programming languages such as Python, Java, Go, or similar. Experience working with Generative AI and ML infrastructure, including: Fine-tuning transformer models Managing embeddings Building RAG pipelines Familiarity with vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic search techniques. Strong foundation in cloud infrastructure, networking, security … CD pipelines, and observability. Experience with cloud platforms (AWS, GCP, etc.) or database internals. Proven track record of delivering end-to-end projects and mentoring engineers. Direct experience with ML platforms and MLOps is required. More ❯

Senior Software Engineer II – ML Platform & GenAI (relocation to dubai) Location: Dubai, United Arab Emirates As part of the Machine Learning Platform & Generative AI Applications team, this role sits at the intersection of engineering, data science, and product development. The team builds the foundational tools that power intelligent and engaging user experiences across multiple business verticals. This is … experience in software engineering with strong design principles and system architecture knowledge. Proficiency in programming languages such as Python, Java, Go, or similar. Experience working with Generative AI and ML infrastructure, including: Fine-tuning transformer models Managing embeddings Building RAG pipelines Familiarity with vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic search techniques. Strong foundation in cloud infrastructure, networking, security … CD pipelines, and observability. Experience with cloud platforms (AWS, GCP, etc.) or database internals. Proven track record of delivering end-to-end projects and mentoring engineers. Direct experience with ML platforms and MLOps is required. More ❯

Senior Software Engineer II – ML Platform & GenAI (relocation to dubai) Location: Dubai, United Arab Emirates As part of the Machine Learning Platform & Generative AI Applications team, this role sits at the intersection of engineering, data science, and product development. The team builds the foundational tools that power intelligent and engaging user experiences across multiple business verticals. This is … experience in software engineering with strong design principles and system architecture knowledge. Proficiency in programming languages such as Python, Java, Go, or similar. Experience working with Generative AI and ML infrastructure, including: Fine-tuning transformer models Managing embeddings Building RAG pipelines Familiarity with vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic search techniques. Strong foundation in cloud infrastructure, networking, security … CD pipelines, and observability. Experience with cloud platforms (AWS, GCP, etc.) or database internals. Proven track record of delivering end-to-end projects and mentoring engineers. Direct experience with ML platforms and MLOps is required. More ❯

and financial success. You will join a highly skilled, forward-looking team that provides a single comprehensive data cataloguing solution across global business units, while also driving AI and machine learning innovation. Key Responsibilities: Collaborate with engineering and leadership teams on functional and process design , prototyping, testing, training, and support procedures. Document solution architectures and key learnings from … detection and model monitoring frameworks (experience with AgentEvals for LLMs is a plus). Key Skills: Proven experience in Chatbot Development using: Python, PyCharm, NumPy, Pandas TensorFlow/Deep Learning/NLP frameworks MySQL, PostgreSQL, NoSQL, RDBMS design & data modelling GitHub, Jenkins for CI/CD and version control Strong background in data modelling, wrangling, and extraction Good to … Document type classification and form matching Desirable Skills & Experience: Bachelor’s or Master’s in Computer Science, Engineering, or related field 5–7 years of experience delivering AI/ML and data science solutions Expertise in supervised and unsupervised learning Practical experience in model training, drift detection, and feature engineering Experience with Agile delivery frameworks Strong awareness of application More ❯

and financial success. You will join a highly skilled, forward-looking team that provides a single comprehensive data cataloguing solution across global business units, while also driving AI and machine learning innovation. Key Responsibilities: Collaborate with engineering and leadership teams on functional and process design , prototyping, testing, training, and support procedures. Document solution architectures and key learnings from … detection and model monitoring frameworks (experience with AgentEvals for LLMs is a plus). Key Skills: Proven experience in Chatbot Development using: Python, PyCharm, NumPy, Pandas TensorFlow/Deep Learning/NLP frameworks MySQL, PostgreSQL, NoSQL, RDBMS design & data modelling GitHub, Jenkins for CI/CD and version control Strong background in data modelling, wrangling, and extraction Good to … Document type classification and form matching Desirable Skills & Experience: Bachelor’s or Master’s in Computer Science, Engineering, or related field 5–7 years of experience delivering AI/ML and data science solutions Expertise in supervised and unsupervised learning Practical experience in model training, drift detection, and feature engineering Experience with Agile delivery frameworks Strong awareness of application More ❯

developments in AI, LLMs, and regulatory technology (RegTech), and proactively propose innovative solutions. Your Profile: Essential skills/knowledge/experience: Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex … AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages, including experience with ML frameworks (TensorFlow, PyTorch, etc.). Familiarity with regulatory environments in banking/finance and understanding of regulatory change management processes. Knowledge of automation, workflow orchestration, and version control tools (e.g., Airflow, Git). Excellent problem-solving abilities, communication skills … knowledge/experience: Experience in RegTech or working with compliance and audit teams in a banking or financial services context. Certification in Google Cloud (e.g., Professional Data Engineer, Professional Machine Learning Engineer). Understanding of data privacy, security, and ethical considerations in AI applications. Rewards & Benefits: TCS is consistently voted a Top Employer in the UK and globally. More ❯

developments in AI, LLMs, and regulatory technology (RegTech), and proactively propose innovative solutions. Your Profile: Essential skills/knowledge/experience: Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex … AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages, including experience with ML frameworks (TensorFlow, PyTorch, etc.). Familiarity with regulatory environments in banking/finance and understanding of regulatory change management processes. Knowledge of automation, workflow orchestration, and version control tools (e.g., Airflow, Git). Excellent problem-solving abilities, communication skills … knowledge/experience: Experience in RegTech or working with compliance and audit teams in a banking or financial services context. Certification in Google Cloud (e.g., Professional Data Engineer, Professional Machine Learning Engineer). Understanding of data privacy, security, and ethical considerations in AI applications. Rewards & Benefits: TCS is consistently voted a Top Employer in the UK and globally. More ❯

developments in AI, LLMs, and regulatory technology (RegTech), and proactively propose innovative solutions. Your Profile: Essential skills/knowledge/experience: Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex … AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages, including experience with ML frameworks (TensorFlow, PyTorch, etc.). Familiarity with regulatory environments in banking/finance and understanding of regulatory change management processes. Knowledge of automation, workflow orchestration, and version control tools (e.g., Airflow, Git). Excellent problem-solving abilities, communication skills … knowledge/experience: Experience in RegTech or working with compliance and audit teams in a banking or financial services context. Certification in Google Cloud (e.g., Professional Data Engineer, Professional Machine Learning Engineer). Understanding of data privacy, security, and ethical considerations in AI applications. Rewards & Benefits: TCS is consistently voted a Top Employer in the UK and globally. More ❯

We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a … that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student … speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in ML models What we can offer ✨ A real-deal startup adventure: you'll be hopping on a major project while it's still in the works! Freedom to suggest, implement, and More ❯

We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a … that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student … speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in ML models What we can offer ✨ A real-deal startup adventure: you'll be hopping on a major project while it's still in the works! Freedom to suggest, implement, and More ❯

We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a … that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student … speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in ML models What we can offer ✨ A real-deal startup adventure: you'll be hopping on a major project while it's still in the works! Freedom to suggest, implement, and More ❯

its domain. With a strong focus on automation, personalisation, and intelligent decisioning, this organisation is placing data science at the heart of its strategy, investing heavily in both classic ML and next-generation AI capabilities. This is a company that blends modern product engineering with a fast-moving, high-ownership culture. Their environment encourages experimentation, cross-functional collaboration, and the … what “great” looks like in machine learning at scale. The Role As a Principal Data Scientist, you’ll play a pivotal role in shaping the company’s ML capability, both technically and culturally. Working alongside a collaborative data science team, you’ll help embed AI into core product workflows, define best practices across model deployment and experimentation, and … the entire company’s GenAI efforts. The team have multiple LLM projects running but would love a technical leader in this area Own the end-to-end lifecycle of ML projects, from feature engineering to deployment and monitoring Define best practices for model testing, automation, and continuous improvement within a high-performing team Act as a technical thought leader, partnering More ❯

its domain. With a strong focus on automation, personalisation, and intelligent decisioning, this organisation is placing data science at the heart of its strategy, investing heavily in both classic ML and next-generation AI capabilities. This is a company that blends modern product engineering with a fast-moving, high-ownership culture. Their environment encourages experimentation, cross-functional collaboration, and the … what “great” looks like in machine learning at scale. The Role As a Principal Data Scientist, you’ll play a pivotal role in shaping the company’s ML capability, both technically and culturally. Working alongside a collaborative data science team, you’ll help embed AI into core product workflows, define best practices across model deployment and experimentation, and … the entire company’s GenAI efforts. The team have multiple LLM projects running but would love a technical leader in this area Own the end-to-end lifecycle of ML projects, from feature engineering to deployment and monitoring Define best practices for model testing, automation, and continuous improvement within a high-performing team Act as a technical thought leader, partnering More ❯

its domain. With a strong focus on automation, personalisation, and intelligent decisioning, this organisation is placing data science at the heart of its strategy, investing heavily in both classic ML and next-generation AI capabilities. This is a company that blends modern product engineering with a fast-moving, high-ownership culture. Their environment encourages experimentation, cross-functional collaboration, and the … what “great” looks like in machine learning at scale. The Role As a Principal Data Scientist, you’ll play a pivotal role in shaping the company’s ML capability, both technically and culturally. Working alongside a collaborative data science team, you’ll help embed AI into core product workflows, define best practices across model deployment and experimentation, and … the entire company’s GenAI efforts. The team have multiple LLM projects running but would love a technical leader in this area Own the end-to-end lifecycle of ML projects, from feature engineering to deployment and monitoring Define best practices for model testing, automation, and continuous improvement within a high-performing team Act as a technical thought leader, partnering More ❯

London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are … and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs … on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to daniel@microtech More ❯

London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are … and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs … on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to daniel@microtech More ❯

London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are … and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs … on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to daniel@microtech More ❯

relevant technologies, and be able to independently learn new technologies and techniques as our stack changes. The role requires close coordination to design and implement data pipelines that support machine learning models, analytical dashboards, and experimental frameworks. Clear communication; can communicate effectively in both written and verbal forms with technical and non-technical audiences alike. Complex problem-solving … ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Technical Skills Required Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/ More ❯

relevant technologies, and be able to independently learn new technologies and techniques as our stack changes. • The role requires close coordination to design and implement data pipelines that support machine learning models, analytical dashboards, and experimental frameworks. • Clear communication; can communicate effectively in both written and verbal forms with technical and non-technical audiences alike. • Complex problem-solving … ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. • Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Technical Skills Required • Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/ More ❯