176 to 200 of 668 Machine Learning Jobs in the City of London

Founding ML/AI Engineer | ClimateTech | London (Hybrid) I’m working with a pioneering ClimateTech startup that’s on a mission to make a real dent in the fight against climate change. They’re building a data and software platform designed to help businesses measure, manage, and mitigate their carbon footprint — and now they’re hiring their first Founding ML … talented science team. Identify new and unconventional data sources to feed into those models. Work with engineers to productionize model outputs through APIs. Partner with product teams to bring ML-powered insights into real customer-facing products. 💡 Tech Stack They keep things lean and modern: Front-end: TypeScript, React, Next.js, Tailwind CSS Back-end: Go Infra: Google Cloud Platform AI … LLM-powered features) For this role, Python will be your main playground — no need to know Go or TypeScript. ✅ What They’re Looking For 4+ years of hands-on ML/AI experience. Strong background in working with unstructured data and turning it into structured, model-ready form. Experience building or fine-tuning predictive models and deploying them to production. More ❯

Founding ML/AI Engineer | ClimateTech | London (Hybrid) I’m working with a pioneering ClimateTech startup that’s on a mission to make a real dent in the fight against climate change. They’re building a data and software platform designed to help businesses measure, manage, and mitigate their carbon footprint — and now they’re hiring their first Founding ML … talented science team. Identify new and unconventional data sources to feed into those models. Work with engineers to productionize model outputs through APIs. Partner with product teams to bring ML-powered insights into real customer-facing products. 💡 Tech Stack They keep things lean and modern: Front-end: TypeScript, React, Next.js, Tailwind CSS Back-end: Go Infra: Google Cloud Platform AI … LLM-powered features) For this role, Python will be your main playground — no need to know Go or TypeScript. ✅ What They’re Looking For 4+ years of hands-on ML/AI experience. Strong background in working with unstructured data and turning it into structured, model-ready form. Experience building or fine-tuning predictive models and deploying them to production. More ❯

Member of Technical Staff (Applied ML) – Agentic AI 📍 London, UK - Hybrid/Flexible (must be UK-based already | 💰 £200k+ & Equity A new frontier in AI infrastructure is being built, and we’re hiring the founding technical team to make it happen. Mission: to create super-intelligence as a copilot for AI teams. A system that enables enterprises to move from … experimentation to full-scale production without the need for a massive ML engineering organisation . An early-stage, high-impact startup founded by engineers and researchers from Google, Spotify, and Uber , backed by some of the world’s most influential investors . With offices in London and San Francisco , they’ve just completed a major funding round and are scaling … toward Series A in early 2026 . The Role We’re looking for a Member of Technical Staff (Applied ML) who thrives on building systems that work in the real world. You’ll join as one of the company’s first 10 engineering hires, shaping the core architecture, training stack, and intelligent agent frameworks that define how AI systems reason More ❯

Member of Technical Staff (Applied ML) – Agentic AI 📍 London, UK - Hybrid/Flexible (must be UK-based already | 💰 £200k+ & Equity A new frontier in AI infrastructure is being built, and we’re hiring the founding technical team to make it happen. Mission: to create super-intelligence as a copilot for AI teams. A system that enables enterprises to move from … experimentation to full-scale production without the need for a massive ML engineering organisation . An early-stage, high-impact startup founded by engineers and researchers from Google, Spotify, and Uber , backed by some of the world’s most influential investors . With offices in London and San Francisco , they’ve just completed a major funding round and are scaling … toward Series A in early 2026 . The Role We’re looking for a Member of Technical Staff (Applied ML) who thrives on building systems that work in the real world. You’ll join as one of the company’s first 10 engineering hires, shaping the core architecture, training stack, and intelligent agent frameworks that define how AI systems reason 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 … fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior ML Engineer with a proven track record of delivering ML models to production. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next … for performance, scalability, and accuracy Essential skills 🙏 Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Experience working with entire ML systems and data pipelines in large-scale production systems Experience building automated data pipelines Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring 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 … fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior ML Engineer with a proven track record of delivering ML models to production. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next … for performance, scalability, and accuracy Essential skills 🙏 Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Experience working with entire ML systems and data pipelines in large-scale production systems Experience building automated data pipelines Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring More ❯

Learning, or a related field. 6-8 years of professional, hands-on experience in software engineering, with a primary focus on building and deploying complex AI/ML systems into production. A proven track record of delivering scalable, reliable, and high-performance software solutions from concept to deployment. For more information on how we process your personal data More ❯

technical guidance and mentorship to junior team members Contribute to research culture through knowledge sharing and best practice development Essential Requirements Professional Experience Hands-on experience in NLP, deep learning, and transformer-based architectures Demonstrated involvement in LLM projects including training, fine-tuning, or production deployment Strong track record in scalable AI system development Technical Expertise Expert-level Python … model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment Experience with enterprise-scale data engineering and workflow orchestration tools What Our Client Offers Competitive salary package, comprehensive private More ❯

technical guidance and mentorship to junior team members Contribute to research culture through knowledge sharing and best practice development Essential Requirements Professional Experience Hands-on experience in NLP, deep learning, and transformer-based architectures Demonstrated involvement in LLM projects including training, fine-tuning, or production deployment Strong track record in scalable AI system development Technical Expertise Expert-level Python … model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment Experience with enterprise-scale data engineering and workflow orchestration tools What Our Client Offers Competitive salary package, comprehensive private More ❯

Lead ML Engineer 📍 London (3 days a week) | 💰 £100k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead/Senior ML/AI More ❯

Lead ML Engineer 📍 London (3 days a week) | 💰 £100k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead/Senior ML/AI More ❯

Security Senior Manager to join their cybersecurity practice. Working across multiple sectors you'll be involved in supporting clients when it matters the most. You'll define AI/ML security strategies, architect secure AI systems, and lead enterprise security initiatives. You will be responsible for shaping proposals, supporting sales efforts, delivering client projects, leading teams, and managing cross-functional … stakeholders. Responsibilities of the AI Security Senior Manager: Lead and deliver AI/ML security projects, including architecture, risk assessments, and governance frameworks. Design and implement security architectures for AI/ML systems and pipelines. Advise clients on AI security best practices, threat mitigation, and compliance. Develop AI/ML security policies, standards, and reference architectures. Conduct threat modelling, adversarial … foster continuous learning. Experience and Skills Required of the AI Security Senior Manager: Current Security Professional Certification (CISSP, CISM required). 7+ years cybersecurity experience with proven AI/ML security expertise. Deep understanding of AI/ML concepts, algorithms, and regulations (EU AI Act, GDPR). Strong knowledge of security frameworks (NIST, ISO 27001, TOGAF, SABSA). Proven experience More ❯

Security Senior Manager to join their cybersecurity practice. Working across multiple sectors you'll be involved in supporting clients when it matters the most. You'll define AI/ML security strategies, architect secure AI systems, and lead enterprise security initiatives. You will be responsible for shaping proposals, supporting sales efforts, delivering client projects, leading teams, and managing cross-functional … stakeholders. Responsibilities of the AI Security Senior Manager: Lead and deliver AI/ML security projects, including architecture, risk assessments, and governance frameworks. Design and implement security architectures for AI/ML systems and pipelines. Advise clients on AI security best practices, threat mitigation, and compliance. Develop AI/ML security policies, standards, and reference architectures. Conduct threat modelling, adversarial … foster continuous learning. Experience and Skills Required of the AI Security Senior Manager: Current Security Professional Certification (CISSP, CISM required). 7+ years cybersecurity experience with proven AI/ML security expertise. Deep understanding of AI/ML concepts, algorithms, and regulations (EU AI Act, GDPR). Strong knowledge of security frameworks (NIST, ISO 27001, TOGAF, SABSA). Proven experience More ❯

years’ experience in a consultancy environment , leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI More ❯

years’ experience in a consultancy environment , leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI More ❯

of artificial intelligence, large language models (LLMs), and cloud-native applications . This is an exciting opportunity for an engineer with solid experience in AI development, software engineering, or machine learning systems to work on projects that deliver real business impact across the banking and finance sector . You’ll collaborate with an international team of AI engineers … Have Experience with prompt engineering , fine-tuning , or AI agents Understanding of retrieval-augmented generation (RAG) systems and semantic search Exposure to enterprise AI security , multimodal AI , or reinforcement learning (RLHF) Benefits 💰 Competitive Salary: Up to £70,000 + annual performance bonus 🏡 Hybrid Working: Flexible blend of office and remote work 📈 Career Development: Continuous learning, technical mentorship, and More ❯

wider economic landscape. They are looking for a Data Scientist to join their London-based team, working closely with AI and research functions to design, implement, and maintain scalable ML models for forecasting. This role offers the opportunity to work at the cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment. Key Responsibilities Building machine … with a focus on time-series forecasting. Collaborating with data scientists and researchers to productionise models. Managing both cloud-based and on-premise infrastructure. Ensuring reliability and scalability of ML systems in production. What We’re Looking For 3+ years of experience in Data Science. Strong proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn … TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency More ❯

capable of shaping the future of secure, ethical, and compliant AI adoption across critical environments. What you’ll do This is a senior, strategic consulting role — driving AI/ML security architecture, influencing C-suite direction, and ensuring security-by-design across complex AI systems and data pipelines. You’ll define and deliver AI security strategies, develop reference architectures, and … of the band (£90–115K), you’ll need strong consulting experience and commercial awareness alongside deep technical expertise. Key areas of focus Define and implement enterprise-level AI/ML security strategies, policies, and architectures. Lead on AI risk assessment, threat modelling, and mitigation planning. Ensure compliance with GDPR, the EU AI Act, and international security frameworks (ISO 27001, NIST … practice. Communicate complex risks clearly to senior stakeholders and boards. What you’ll bring 7+ years’ strategic cybersecurity experience, ideally in consulting or advisory. Deep understanding of AI/ML security architecture, adversarial ML mitigation, and model governance. Current security certifications such as CISSP or CISM. Proven experience across cloud security, data privacy, and DevSecOps. Familiarity with frameworks including NIST More ❯

capable of shaping the future of secure, ethical, and compliant AI adoption across critical environments. What you’ll do This is a senior, strategic consulting role — driving AI/ML security architecture, influencing C-suite direction, and ensuring security-by-design across complex AI systems and data pipelines. You’ll define and deliver AI security strategies, develop reference architectures, and … of the band (£90–115K), you’ll need strong consulting experience and commercial awareness alongside deep technical expertise. Key areas of focus Define and implement enterprise-level AI/ML security strategies, policies, and architectures. Lead on AI risk assessment, threat modelling, and mitigation planning. Ensure compliance with GDPR, the EU AI Act, and international security frameworks (ISO 27001, NIST … practice. Communicate complex risks clearly to senior stakeholders and boards. What you’ll bring 7+ years’ strategic cybersecurity experience, ideally in consulting or advisory. Deep understanding of AI/ML security architecture, adversarial ML mitigation, and model governance. Current security certifications such as CISSP or CISM. Proven experience across cloud security, data privacy, and DevSecOps. Familiarity with frameworks including NIST 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 ❯

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 ❯