201 to 225 of 1,699 Machine Learning Jobs in London

are seeking an experienced Applied Science Manager to lead a team of talented applied scientists, hardware and software engineers, developing and deploying advanced vision, machine learning and control algorithms. You will drive innovation that enables manipulation in high-contact, high-density, and diverse conditions with the speed and … deliverables effectively. - A PhD in Computer Science, Robotics or a related engineering field - 6+ years of applied research experience - 3+ years of scientists or machine learning engineers management experience - Experience in computer vision and/or motion control domains, solving complicated robotics problems for automation tasks - Experience building … machine learning models or developing algorithms for business application - Experience programming in Java, C++, Python or related language - Ability to build and collaborate effectively with a diverse, talented team - Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Experience shipping computer vision More ❯

actuarial modelling and advanced analytics. As they continue to grow, they are seeking a bright and ambitious Graduate Actuarial Analyst with a passion for machine learning to join their dynamic team. This is a rare opportunity to join a high-calibre consultancy where you'll work closely with … senior leadership, gaining hands-on experience on a range of cutting-edge projects across insurance, risk, and data science. About the Role: Apply machine learning techniques to complex actuarial problems, enhancing traditional actuarial models. Work on real-world client projects across a variety of sectors. Build bespoke models … Engineering, or similar) from a top-tier university . Achieved A or A * in Mathematics at A-Level (or equivalent). Demonstrated experience with machine learning techniques, ideally through academic projects, internships, or personal projects. Proficient with Python, R, or similar analytical languages. Strong problem-solving and analytical More ❯

actuarial modelling and advanced analytics. As they continue to grow, they are seeking a bright and ambitious Graduate Actuarial Analyst with a passion for machine learning to join their dynamic team. This is a rare opportunity to join a high-calibre consultancy where you'll work closely with … senior leadership, gaining hands-on experience on a range of cutting-edge projects across insurance, risk, and data science. About the Role: Apply machine learning techniques to complex actuarial problems, enhancing traditional actuarial models. Work on real-world client projects across a variety of sectors. Build bespoke models … Engineering, or similar) from a top-tier university . Achieved A or A * in Mathematics at A-Level (or equivalent). Demonstrated experience with machine learning techniques, ideally through academic projects, internships, or personal projects. Proficient with Python, R, or similar analytical languages. Strong problem-solving and analytical More ❯

industries, empower individuals, and create a more equitable and transparent digital landscape. Examples of Moonsong Labs projects include Kluster.ai (Decentralised compute platform optimised for Machine learning use cases), Moonbeam (EVM compatible L1 optimized for cross chain use cases) and Tanssi (AppChain Infrastructure). The Venture Studio team We … portfoilio companies. Your Role: Your work in the Venture studio team will include research, prototype development and presentations of initial proposals for web3 and ML infrastructure projects among other things. You will be working alongside our VP of Products to research and validate new ideas for the venture studio with … on approach to prototyping, and brainstorming business ideas and technical architectures to deliver them. Stay on top of the latest relevant (EVM ecosystem, Cryptography, ML Models) research and competitive efforts to identify synergistic ideas and approaches for Venture Studio projects. Keep an oversight over MSL core engineering services and projects More ❯

Banking at blue-chip financial institutions such as AEA Investors, Citigroup, and Deutsche Bank. Our CTO, Callum, has over 6 years of experience in Machine Learning and AI, having worked at leading defense companies like QinetiQ and retail tech startups such as Standard AI. The entire team are … We avoid bureaucracy, keep meetings to a minimum and focus on creating value. Simple where possible: We are passionate about new technology (in particular Machine Learning and AI), but we are more passionate about solving problems for our customers. We strive to find the best solution, be it … PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. You have hands-on experience working with LLMs, RAG architectures, NLP, or applying Machine Learning to solve real-world problems. You have a strong track record of building datasets for training and/or evaluating machine More ❯

Customer Success Manager at Mobile Ad Tech (Gaming Apps) Opportunity to drive sophisticated machine learning solutions for a global leader within mobile ad tech gaming. The Company: True Machine Learning proprietary technology Very strong supply partnerships Over 100% year on year growth Profitable business International business … with multiple global locations The Role: Commercial account growth role, driving upsell and cross-sell opportunities across different machine learning solutions Client reporting and actionable insights based on campaign performance and platform usage Working closely with product and sales to align on client platform needs Remote or hybrid … Success/Account Management experience within programmatic/user acquisition Highly analytical with ability to present actionable insights to clients Ability to grasp complex machine learning concepts If you feel you have the relevant experience please reply to this advert or email your CV to More ❯

Limited The Alexa Conversational Modelling and Intelligence org in UK is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance … mentor and guide junior scientists and contribute to the overall growth and development of the team. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with neural deep learning methods and machine learning - Experience … in building machine learning models for business application - Experience in applied research - Experience programming in Java, C++, Python or related language - Strong track record of patents and publications. PREFERRED QUALIFICATIONS - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or More ❯

feedback between experiments and molecular models. We are particularly interested in candidates with research interests encompassing computational biology of molecular systems, artificial intelligence/machine learning, and interpretable biological modelling. We welcome research exploiting the integration of bioinformatics, systems biology, and biophysics to model and analyze molecular systems … conduct teaching and training of undergraduate and postgraduate students. The specific research focus is on developing innovative strategies to derive new Artificial Intelligence and Machine Learning approaches aimed at extracting meaningful insights from the vast amounts of available data in modern biology. We are therefore particularly interested in … candidates with research interests encompassing computational biology of molecular systems, artificial intelligence/machine learning, and interpretable biological modelling. The successful candidate will play a pivotal role in the research program of SMB, providing opportunities of fruitful interactions between experimentalist and theoreticians, shaping and expanding new research directions. More ❯

Role Overview: As a Software Engineer with this studio, you will play a key role in the development of cutting-edge features that utilize Machine Learning to create dynamic, procedurally generated game worlds. You will collaborate with a dedicated and forward-looking team to design, implement, and iterate … on new features, helping to shape the future of their games. Key Responsibilities: Lead the development of new and existing features utilizing Machine Learning to generate immersive, procedurally generated worlds within the games. Collaborate with a humble, empathetic, and ambitious development team to push the boundaries of innovation … insights while being receptive to feedback. Qualifications: Strong software engineering skills, with a solid understanding of algorithms, data structures, and software architecture. Experience with Machine Learning engineering, particularly with modern libraries such as PyTorch. Deep knowledge of generative models, including expertise in diffusion models and Variational Autoencoders (VAEs More ❯

Role Overview: As a Software Engineer with this studio, you will play a key role in the development of cutting-edge features that utilize Machine Learning to create dynamic, procedurally generated game worlds. You will collaborate with a dedicated and forward-looking team to design, implement, and iterate … on new features, helping to shape the future of their games. Key Responsibilities: Lead the development of new and existing features utilizing Machine Learning to generate immersive, procedurally generated worlds within the games. Collaborate with a humble, empathetic, and ambitious development team to push the boundaries of innovation … insights while being receptive to feedback. Qualifications: Strong software engineering skills, with a solid understanding of algorithms, data structures, and software architecture. Experience with Machine Learning engineering, particularly with modern libraries such as PyTorch. Deep knowledge of generative models, including expertise in diffusion models and Variational Autoencoders (VAEs More ❯

The Machine Learning (ML) Practice team is a highly specialized, collaborative customer-facing ML team at Databricks. We deliver professional services (PS) engagements to help our customers build, scale, and productionize the most cutting-edge ML and GenAI applications. We work cross-functionally to shape long-term strategic … well as support internal subject matter expert (SME) teams. We are looking for a world-class Sr. Manager to lead and grow our EMEA ML Practice. You will report directly to the AVP of Professional Services in EMEA and dotted line to our ML PS Global Leader. This role can … candidates to be near a major office location such as London and Amsterdam. The impact you will have: Lead and build a world-class ML + AI practice including hiring, onboarding and scaling of the team across EMEA Develop relationships with key customers and partners, scope engagements, and manage escalations More ❯

The Machine Learning (ML) Practice team is a highly specialized, collaborative customer-facing ML team at Databricks. We deliver professional services (PS) engagements to help our customers build, scale, and productionize the most cutting-edge ML and GenAI applications. We work cross-functionally to shape long-term strategic … well as support internal subject matter expert (SME) teams. We are looking for a world-class Sr. Manager to lead and grow our EMEA ML Practice. You will report directly to the AVP of Professional Services in EMEA and dotted line to our ML PS Global Leader. This role can … candidates to be near a major office location such as London and Amsterdam. The impact you will have: Lead and build a world-class ML + AI practice including hiring, onboarding and scaling of the team across EMEA Develop relationships with key customers and partners, scope engagements, and manage escalations More ❯

external data sources. Build predictive and prescriptive models through data manipulation and cleaning. Design, manage, and deploy analytical solutions leveraging Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) into production systems following the technology SDLC process. Implement features throughout the ML lifecycle-Development, Testing … Data Science, Statistics, Mathematics, Engineering, or a related field. Minimum of 5 years of industry experience as a data scientist, with a focus on ML modelling, Ranking, Recommendations, or Personalization systems. Proven track record of designing and developing scalable and reliable machine learning systems. Strong expertise in ML More ❯

of the Geospatial science team within Last Mile, you will partner closely with other scientists and engineers in a collegial environment to develop enterprise ML solutions with a clear path to business impact. The setting also gives you an opportunity to think about a complex large-scale problem for multiple … sophisticated solutions year over year. In the process, there will be opportunities to innovate, explore SOTA, and publish the research in internal and external ML conferences. The Role: As an Applied Scientist II, you will tackle complex challenges in address normalization, geospatial analysis, and predictive modeling for delivery operations. You … possess deep knowledge of machine learning methods for large-scale predictive modeling, natural language processing, and graph-based learning. Experience in productionizing ML models and good communication skills are essential. You should be comfortable explaining complex technical concepts to diverse stakeholders and working collaboratively in a fast-paced More ❯

ensuring transparency, fairness, and accessibility. This is a hard problem, and we need brilliant minds to help us solve it. The Opportunity As an ML Engineer, you'll help us index, benchmark, and evaluate training datasets at scale. Your expertise with data, AI and ML training methodologies and evaluation techniques … art for developing AI. You will work across: Designing and developing benchmarks that allow our customers to understand their value of data for training ML (quantifying dataset quality and biases). Deploy these benchmarks by implementing end-to-end data evaluation pipelines to be run on different datasets and ML … models. Tools to visualise, analyze, and understand the attributes of datasets based on the evaluations. Develop ML models to transform, clean and understand data. Collaborating with cross-functional teams, including operations, software engineering, and product management, to integrate data evaluation tools and insights into product development. Key Responsibilities Engineering and More ❯

wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions. As a Delivery Consultant - ML, you will innovate, (re)design, and build native, business-critical AI solutions with our customers. You will leverage the global scale, elasticity, automation, and high … needed. Key Responsibilities Invent and build AI solutions that solve complex problems, scale globally, guarantee performance, and enable breakthrough innovations. Use AWS AI/ML services (e.g., Amazon Bedrock), ML platforms (SageMaker), and frameworks (e.g., MXNet, PyTorch, SparkML, scikit-learn) to help our customers build AI/ML solutions. Work … forums and across various media platforms. Contribute to enhancing and improving AWS services. BASIC QUALIFICATIONS 3+ years of experience in the industry as an ML practitioner with hands-on implementation of ML systems; building, validating, and deploying GenAI models. 7+ years of professional experience in a business environment; experience with More ❯

Limited Join Amazon Advertising's targeting program as a Senior Applied Scientist where you'll help shape how advertisers reach relevant customers through advanced ML and statistical techniques. Our mission is to ensure targeted ads meet high relevancy standards that benefit both customers and advertisers. Working from either our Edinburgh … You will be responsible for driving end-to-end scientific processes from ideation to deployment, conducting business analysis and scientific research, and developing advanced ML models. You will apply sophisticated ML and statistical techniques to optimize advertising systems and ensure targeted ads meet high relevancy standards. Working in an agile … advertisers effectively reach their target audiences. BASIC QUALIFICATIONS - Master's degree - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience in building machine learning models for business application - Experience in applied research - Experience with large More ❯

Learning. A day in the life As a senior applied scientist at Amazon, you'll be diving deep into groundbreaking computer vision and ML challenges. Your typical day involves architecting large-scale ML systems, collaborating with cross-functional teams, and mentoring junior scientists. You'll work with massive datasets … optimize model performance, and ensure production readiness. BASIC QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience … in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We More ❯

in software development and with data structures/algorithms. 5 years of experience building and architecting large-scale, production quality Machine Learning (ML) systems. 5 years of experience in distributed development and large-scale data processing. Experience coding in either C++ or Python. Experience with ML fundamentals, algorithms … and actor-critic architectures. Experience building and leading high-performing research or engineering teams, fostering a positive and inclusive culture. Experience being published in ML/AI conferences or journals, demonstrating a strong research background and ability to communicate complex technical concepts effectively. Familiarity with agent-based architectures, tool use … leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Domain Applied ML team is an impactful group within Core ML, dedicated to accelerating the adoption of cutting-edge ML/AI across Google. We bridge the gap More ❯

in software development and with data structures/algorithms. 5 years of experience building and architecting large-scale, production quality Machine Learning (ML) systems. 5 years of experience in distributed development and large-scale data processing. Experience coding in either C++ or Python. Experience with ML fundamentals, algorithms … and actor-critic architectures. Experience building and leading high-performing research or engineering teams, fostering a positive and inclusive culture. Experience being published in ML/AI conferences or journals, demonstrating a strong research background and ability to communicate complex technical concepts effectively. Familiarity with agent-based architectures, tool use … leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Domain Applied ML team is an impactful group within Core ML, dedicated to accelerating the adoption of cutting-edge ML/AI across Google. We bridge the gap More ❯

Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI. As an ML … paced organization that contributes to game-changing projects and technologies. We're looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with ML scientists and engineers … the team Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to: Imagine new applications of generative AI to address your needs. Identify new use cases based on business value. Integrate Generative More ❯

AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. Responsibilities Design methods, tools, and infrastructure to push forward … research goals informed by practical engineering concerns. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Work with a large and globally distributed … and open-sourcing efforts. Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research experience in machine learning, deep learning, and/or natural language processing. Experience with developing machine learning models at scale from inception to More ❯

Amazon UK Services Ltd. The EU Ops Concessions team is looking for a motivated, creative and customer obsessed Snr. Applied Scientist with a strong machine learning background, to develop advanced analytics models (Computer Vision, LLMs, etc.) that improve customer experiences. We are the voice of the customer in … Communicate with various internal stakeholders and external audiences BASIC QUALIFICATIONS PhD Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in Computer Vision modelling and techniques More ❯

EU Ops Concessions DESCRIPTION The EU Ops Concessions team is looking for a motivated, creative and customer obsessed Snr. Applied Scientist with a strong machine learning background, to develop advanced analytics models (Computer Vision, LLMs, etc.) that improve customer experiences. We are the voice of the customer in … Communicate with various internal stakeholders and external audiences. BASIC QUALIFICATIONS PhD Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in Computer Vision modelling and techniques More ❯

Machine Learning Engineer – Globally established entertainment company Salary: £90,000–£110,000 (can stretch to £130,000 for the right person) Location: London (Hybrid – 1–2 days per week in-office) Join a tech-first team modernising the way entertainment is brought to life. Work across innovative deep … learning and exciting projects within the Gen AI, software, 3D and computer vision space. ROLES AND RESPONSIBILITIES Work closely with a high-impact, global team of 4 Gain exposure and work hands-on across deep learning projects, as well as innovative AI (e.g 3D, Computer Vision, Gen AI … etc.) Join a company looking to modernise machine learning applications and AI while still giving control to creatives REQUIREMENTS ✅ 2+ years hands-on experience in deep learning (ideally in computer vision or 3D-related areas) ✅ Strong Python + debugging skills ✅ Experience designing & training models in PyTorch or More ❯