626 to 650 of 794 Machine Learning Jobs in the City of London

backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Qualification path No previous professional experience is required to apply to this role, however, working on this project … program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Equal Opportunity All qualified applicants will receive consideration More ❯

backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Qualification path No previous professional experience is required to apply to this role, however, working on this project … program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Equal Opportunity All qualified applicants will receive consideration More ❯

description: Stats Perform is the global leader in sports tech, delivering the most trusted sports data to the worlds biggest names in sports, media, and broadcasting. Using AI and machine learning, we transform decades of data and live game insights into powerful tools for coaches, teams, media, and sportsbooks click apply for full job details More ❯

funded (raised over $30m), they are currently the youngest AI business to raise a Series B from the YCombinator portfolio! They have built a product that leans into blending machine learning models and data annotation to help businesses save time and money! What You’ll Get This is a key hire, you'll be joining their founding sales More ❯

you’ll do Build responsive, high-performance web UIs that make complex scientific data explorable and engaging. Lead frontend architecture, shaping reusable component libraries and design systems. Collaborate with machine learning researchers, engineers, and biologists to translate cutting-edge science into intuitive digital tools. Push the limits of frontend performance, accessibility, and interactivity. Write and maintain comprehensive unit More ❯

you’ll do Build responsive, high-performance web UIs that make complex scientific data explorable and engaging. Lead frontend architecture, shaping reusable component libraries and design systems. Collaborate with machine learning researchers, engineers, and biologists to translate cutting-edge science into intuitive digital tools. Push the limits of frontend performance, accessibility, and interactivity. Write and maintain comprehensive unit More ❯

build a team around this hire. You will act work closely with their Data Engineering, Data Science, Cloud and DevOps teams in order to help build and scale their ML and data platforms across Azure. This role will require 2 days a week in the office. What will you be doing? Deploy and manage ML models across dev to production … at scale Build and maintain cloud-based data science environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity More ❯

build a team around this hire. You will act work closely with their Data Engineering, Data Science, Cloud and DevOps teams in order to help build and scale their ML and data platforms across Azure. This role will require 2 days a week in the office. What will you be doing? Deploy and manage ML models across dev to production … at scale Build and maintain cloud-based data science environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity More ❯

scale and improve the product as they grow. The mission is pretty great too... Helping people get fit and healthy. 🏋🏻 Key Responsibilities Collaborate closely with highly technical teams (think ML engineers) to build genuinely AI-native features. Lead a talented group of Product Managers to push innovation and scale one of the most respected apps in the space. What I More ❯

scale and improve the product as they grow. The mission is pretty great too... Helping people get fit and healthy. 🏋🏻 Key Responsibilities Collaborate closely with highly technical teams (think ML engineers) to build genuinely AI-native features. Lead a talented group of Product Managers to push innovation and scale one of the most respected apps in the space. What I More ❯

an incubated startup model backed by a large company. Data & AI-Centric B2C: Deep expertise leading a consumer product that relies heavily on large, personalised datasets and AI/ML to deliver recommendations and drive user actions. Senior Ownership: This role reports directly to the CEO of one of the core group businesses and holds the highest product seniority in More ❯

an incubated startup model backed by a large company. Data & AI-Centric B2C: Deep expertise leading a consumer product that relies heavily on large, personalised datasets and AI/ML to deliver recommendations and drive user actions. Senior Ownership: This role reports directly to the CEO of one of the core group businesses and holds the highest product seniority in More ❯

s degree in Computer Science, AI, Engineering, or related discipline (preferred). Preferred/Advantageous Certifications Advanced cloud certifications (AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX/CCaaS certifications (Genesys Cloud, Amazon Connect). Specialist AI/ML certifications (TensorFlow, Hugging Face, OpenAI, or equivalent). Benefits This is your chance … may include: Pension Scheme Remote/Flexible work Life insurance Private health and dental care Cycle to work 28 days paid holiday a year (including three company days) LinkedIn Learning Plus many more! (Benefits are dependent on your base location.) Think you’re a fit? Apply now or reach out directly at dinija@ingenio-global.com. More ❯

s degree in Computer Science, AI, Engineering, or related discipline (preferred). Preferred/Advantageous Certifications Advanced cloud certifications (AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX/CCaaS certifications (Genesys Cloud, Amazon Connect). Specialist AI/ML certifications (TensorFlow, Hugging Face, OpenAI, or equivalent). Benefits This is your chance … may include: Pension Scheme Remote/Flexible work Life insurance Private health and dental care Cycle to work 28 days paid holiday a year (including three company days) LinkedIn Learning Plus many more! (Benefits are dependent on your base location.) Think you’re a fit? Apply now or reach out directly at dinija@ingenio-global.com. More ❯

core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain … the scalability, reliability, and best practices of Atmospheric AI’s data infrastructure. Develop data quality and governance frameworks. Requirements: 10+ years of experience in data engineering or AI/ML engineering. An experienced builder with a strong track record of productionisation, technical ownership, and scaling data systems from the ground up. Deep familiarity with modern data stacks and cloud technologies … time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: £130K–£150K base salary + meaningful equity as a founding employee. Private medical insurance Life assurance Gym membership Coaching and personal development programs Cycle More ❯

core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain … the scalability, reliability, and best practices of Atmospheric AI’s data infrastructure. Develop data quality and governance frameworks. Requirements: 10+ years of experience in data engineering or AI/ML engineering. An experienced builder with a strong track record of productionisation, technical ownership, and scaling data systems from the ground up. Deep familiarity with modern data stacks and cloud technologies … time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: £130K–£150K base salary + meaningful equity as a founding employee. Private medical insurance Life assurance Gym membership Coaching and personal development programs Cycle More ❯

job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured data, applying AI/ML to real … and cost-efficiency. You won’t just be shipping features, you’ll be shaping architecture, tooling, models, and pushing the boundaries of what’s possible. For people who love learning The Challenge Our product is experiencing tremendous demand, presenting us with the exciting challenge of scaling our platform and technology. We need to deliver accurate insights while doubling down … top condition. Life Insurance – let's hope nobody ever needs this! Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it. Everyone is learning, developing and challenging themselves – so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work. Most importantly More ❯

job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured data, applying AI/ML to real … and cost-efficiency. You won’t just be shipping features, you’ll be shaping architecture, tooling, models, and pushing the boundaries of what’s possible. For people who love learning The Challenge Our product is experiencing tremendous demand, presenting us with the exciting challenge of scaling our platform and technology. We need to deliver accurate insights while doubling down … top condition. Life Insurance – let's hope nobody ever needs this! Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it. Everyone is learning, developing and challenging themselves – so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work. Most importantly More ❯

Presales, Solutions Consulting, or Technical Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan … Cycle-to-work scheme 28 days paid annual leave (including company-wide wellbeing days) Access to LinkedIn Learning and ongoing development programs If you’re ready to shape the future of AI-driven customer experience and thrive in a collaborative, fast-paced environment — we’d love to hear from you. More ❯

Presales, Solutions Consulting, or Technical Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan … Cycle-to-work scheme 28 days paid annual leave (including company-wide wellbeing days) Access to LinkedIn Learning and ongoing development programs If you’re ready to shape the future of AI-driven customer experience and thrive in a collaborative, fast-paced environment — we’d love to hear from you. More ❯

investment firms with a marketleading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is Londonbased (circa 1314 people across DevOps, Frontend, AI/ML, Backend, and QA). Everything is the latest and greatest tech in the cloud, serverless etc. The office is based in Victoria and the team go in twice a week … circa Hybrid: 2 days inoffice (Mondays & Wednesdays, nonnegotiable) in Victoria area, London Pension scheme; private medical; basic onsite gym access 25 days holiday plus bank holidays; learning & development; team events; cycle to work; choice of quality hardware A great role here and the chance to work with an awesome team. Apply ASAP! Senior Full Stack Engineer | Node.js & SQL | DataHeavy More ❯

a market‐leading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is London‐based (circa 13–14 people across DevOps, Frontend, AI/ML, Backend, and QA). Everything is the latest and greatest tech in the cloud, serverless etc. The office is based in Victoria and the team go in twice a week … circa Hybrid: 2 days in‐office (Mondays & Wednesdays, non‐negotiable) in Victoria area, London Pension scheme; private medical; basic on‐site gym access 25 days’ holiday plus bank holidays; learning & development; team events; cycle to work; choice of quality hardware A great role here and the chance to work with an awesome team. Apply ASAP! Senior Full Stack Engineer More ❯

a market‐leading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is London‐based (circa 13–14 people across DevOps, Frontend, AI/ML, Backend, and QA). Everything is the latest and greatest tech in the cloud, serverless etc. The office is based in Victoria and the team go in twice a week … circa Hybrid: 2 days in‐office (Mondays & Wednesdays, non‐negotiable) in Victoria area, London Pension scheme; private medical; basic on‐site gym access 25 days’ holiday plus bank holidays; learning & development; team events; cycle to work; choice of quality hardware A great role here and the chance to work with an awesome team. Apply ASAP! Senior Full Stack Engineer More ❯

MLOps/LLMOps and responsible AI ● Contribute to innovation, creating reusable frameworks, prototypes, and thought leadership What we’re looking for: ● Strong expertise in Python and leading AI/ML/NLP libraries (e.g. Hugging Face Transformers, spaCy, NLTK) ● Hands-on experience with LLMs (GPT, Claude, Llama, Mistral) and GenAI/Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) ● Proven track record … and major cloud platforms (AWS, Azure, GCP) ● Strong foundation in MLOps/LLMOps and Agile delivery ● Excellent leadership, communication, and stakeholder engagement skills ● 10+ years’ experience in AI/ML, including senior solution architecture or consulting roles If you’re passionate about pushing the boundaries of Generative and Agentic AI and want to work with a global team at the More ❯

MLOps/LLMOps and responsible AI ● Contribute to innovation, creating reusable frameworks, prototypes, and thought leadership What we’re looking for: ● Strong expertise in Python and leading AI/ML/NLP libraries (e.g. Hugging Face Transformers, spaCy, NLTK) ● Hands-on experience with LLMs (GPT, Claude, Llama, Mistral) and GenAI/Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) ● Proven track record … and major cloud platforms (AWS, Azure, GCP) ● Strong foundation in MLOps/LLMOps and Agile delivery ● Excellent leadership, communication, and stakeholder engagement skills ● 10+ years’ experience in AI/ML, including senior solution architecture or consulting roles If you’re passionate about pushing the boundaries of Generative and Agentic AI and want to work with a global team at the More ❯