376 to 400 of 1,532 Remote Machine Learning Jobs

machine learning Familiarity with supervised and unsupervised learning, NLP, neural networks, Bayesian statistics, time-series forecasting, collaborative filtering, and deep learning Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Experience with cloud platforms (GCP, AWS, Azure) and tools like Dataiku and Databricks Experience with ML Ops, including deployment, monitoring, and More ❯

London, UK Hybrid (3 days onsite) Duration: Until Dec 2025 (ASAP start) Description: We are seeking an experienced Research Assistant to support ongoing work in the artificial intelligence and machine learning domain . The role will focus on building, testing, and improving AI agents, with a strong emphasis on generative AI and large language models (LLMs). You … to medium-scale Python codebases. Requirements: Essential: Bachelors degree in Computer Science, Engineering, or related field, or equivalent practical experience. 2+ years experience in prototyping, testing, or research within ML, deep learning, or NLP. Proficiency in Python (intermediate level; ability to navigate multi-file codebases and write clean code). Familiarity with AI agent frameworks such as Model Context More ❯

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

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

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

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

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

changing how the world produces and consumes regulatory information. As a regulatory data provider, we process the world’s regulation using AI to transform what is human-readable into machine-readable and machine-consumable data. RegGenome is a commercial spin-out of the Regulatory Genome Project (RGP), a pioneering public-private partnership with the University of Cambridge, Judge … describing regulation to create a regulatory commons. Our team benefits from a strong connection to the University, bringing together deep expertise in scaling tech start-ups, developing NLP/ML models, and collaborating with regulatory communities. Backed by £15 million in funding, we have established a solid product-market fit and are experiencing significant commercial traction with global regulatory bodies … To support our ambitious growth plans, we’re hiring a Mid-Level Infrastructure Engineer to join our remote-first, cross-functional tech team of software engineers, data scientists, and ML specialists. Our core platform processes millions of regulatory documents through hundreds of machine learning models, supporting a rapidly growing repository of global regulations. In this hands-on role More ❯

science projects across the organisation. • Working with senior colleagues to provide data science development support for business functions. This includes building, validating and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models. • Working with senior colleagues on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement by collaborating with external innovation … Python, SQL and PySpark • Have a novice knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) • A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics More ❯

some of the best known brands in the UK turn first-party data into real business advantage. To be clear.....This isn’t a maintenance role It’s about building, learning, and being part of something that’s scaling fast. You’ll work alongside talented AI Engineers and Analysts, learning how to productionise data and machine learning … and seeing how clean engineering directly shapes how businesses make decisions. You’ll be hands on with Python, SQL, and cloud (Azure, AWS, or GCP), building structured pipelines, integrating ML outputs, and automating processes that keep data flowing securely and reliably. This is an amazing opportunity for someone early in their data engineering career who craves exposure to AI, automation More ❯

some of the best known brands in the UK turn first-party data into real business advantage. To be clear.....This isn’t a maintenance role It’s about building, learning, and being part of something that’s scaling fast. You’ll work alongside talented AI Engineers and Analysts, learning how to productionise data and machine learning … and seeing how clean engineering directly shapes how businesses make decisions. You’ll be hands on with Python, SQL, and cloud (Azure, AWS, or GCP), building structured pipelines, integrating ML outputs, and automating processes that keep data flowing securely and reliably. This is an amazing opportunity for someone early in their data engineering career who craves exposure to AI, automation More ❯

some of the best known brands in the UK turn first-party data into real business advantage. To be clear.....This isn’t a maintenance role It’s about building, learning, and being part of something that’s scaling fast. You’ll work alongside talented AI Engineers and Analysts, learning how to productionise data and machine learning … and seeing how clean engineering directly shapes how businesses make decisions. You’ll be hands on with Python, SQL, and cloud (Azure, AWS, or GCP), building structured pipelines, integrating ML outputs, and automating processes that keep data flowing securely and reliably. This is an amazing opportunity for someone early in their data engineering career who craves exposure to AI, automation More ❯

some of the best known brands in the UK turn first-party data into real business advantage. To be clear.....This isn’t a maintenance role It’s about building, learning, and being part of something that’s scaling fast. You’ll work alongside talented AI Engineers and Analysts, learning how to productionise data and machine learning … and seeing how clean engineering directly shapes how businesses make decisions. You’ll be hands on with Python, SQL, and cloud (Azure, AWS, or GCP), building structured pipelines, integrating ML outputs, and automating processes that keep data flowing securely and reliably. This is an amazing opportunity for someone early in their data engineering career who craves exposure to AI, automation More ❯

some of the best known brands in the UK turn first-party data into real business advantage. To be clear.....This isn’t a maintenance role It’s about building, learning, and being part of something that’s scaling fast. You’ll work alongside talented AI Engineers and Analysts, learning how to productionise data and machine learning … and seeing how clean engineering directly shapes how businesses make decisions. You’ll be hands on with Python, SQL, and cloud (Azure, AWS, or GCP), building structured pipelines, integrating ML outputs, and automating processes that keep data flowing securely and reliably. This is an amazing opportunity for someone early in their data engineering career who craves exposure to AI, automation 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 ❯

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 ❯

collaborating with the AI Strategy team, AI Working Group, Model Risk Management, and Cyber Security teams to ensure secure AI practices, enhance explainability, and maintain comprehensive audit tracking. Support machine-ready Knowledge Management Engineering efforts and drive AI accuracy by implementing measurable data quality metrics and establishing advanced domain adaptation techniques like advanced RAG to meet business needs. Drive … Qualifications Bachelor's degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field. Experience in leading, designing, implementing, and managing large-scale AI and machine learning solutions, including production-grade Generative-AI applications preferably, in a large multi-function financial services organization. Strong technical skills in AI technologies, including experience with Azure and … with Python and SQL required. Desired, not required Master's in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field. Experience in advanced AI/ML technologies. Experience building and supporting Enterprise grade APIs. Expert knowledge of banking/financial industry trends, products, and services. Experience working in an AI Center for Enablement. System One, and More ❯

timely delivery. Get the opportunity to work with modern tech, data stacks, and cloud-based architectures, managing both the foundational data solutions alongside the adoption of advanced AI and ML capabilities. Work alongside the team Product Owner to plan and manage the delivery of feature roadmap to drive continuous improvement and operational excellence. Why Lloyds Banking Group We're on … Data Engineer/Cloud Architect certifications Good appreciation of data security and privacy, and architectural implications it has on application design. Modern progressive technologies– e.g. batch/streaming pipelines, machine learning, artificial intelligence etc. High-level knowledge of QA, data quality, and software quality tools such as SonarQube, etc. About working for us Our ambition is to be 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 ❯

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 ❯

Above all, we're looking for a positive, collaborative individual - confident in their skills, focused on outcomes and able to challenge ideas constructively. Someone who balances productivity with continuous learning and improvement and who's willing to both teach and learn from others. You will report directly to our CTO, Yoel Marson. You'll work closely with our Tech … data, and design teams to translate ideas into technical solutions that deliver measurable impact. Mentor and support engineers through code reviews, pairing, and knowledge sharing - fostering a culture of learning and continuous improvement. Lead by example in cross-functional projects, helping align technical direction with business priorities. Explore and evaluate emerging technologies - particularly in AI, automation, and developer tooling … Cassandra, Redis). Familiarity with message brokers (Kafka, SQS/SNS, RabbitMQ). Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.). Exposure to big-data or machine-learning frameworks (TensorFlow, PyTorch, Hugging Face, LangChain). Experience working with AI-driven development tools such as Cursor, Copilot, or Replit Ghostwriter. Understanding of infrastructure and DevOps (Terraform More ❯

a related field. Minimum of 3-7 years of experience as a data/solutions architect working Azure Synapse Analytics for data ingestion, ETL/ELT workloads, data integration, Machine Learning, and Generative AI solutions in real-world projects. Proven ability to manage multiple projects and meet deadlines, with a solid understanding of GDPR and NIS2 to ensure … unstructured data sets. Deep understanding of data governance, data quality, and compliance requirements. Experience in leading technical teams and mentoring junior team members. Expertise and working experience in Azure ML, AI Studio, and Azure OpenAI. Expertise in Microsoft Purview and Microsoft Fabric. Experience with Microsoft Cloud Adoption Framework. Creative thinker with the ability to innovate and provide strategic solutions. What More ❯

management. You can stay technically-focused and carry on improving in your favourite tech field. You won’t be responsible for any sales work, either. Other benefits include a learning allowance (so you can control your own growth) and paid overtime – prioritising the things that matter most to you. We take our work-life balance seriously, and will make … with cloud platforms and in particular architecting with native cloud resources relevant to data problems Knowledge of data visualisation tools such as Tableau or Power BI Interest in building Machine learning and Data science applications Ability to use wide variety of open-source technologies Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir More ❯