301 to 325 of 3,946 Machine Learning Jobs in England

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 ❯

Role: Senior Data Scientist Skills: SQL/Python/Machine Learning Location: Manchester Salary: £60,000k Work Pattern: Hybrid Summary A brand new role has opened up for a Senior Data Scientist to join a well-established company that we have placed professionals with for many years. This … requirements and share your insights across the company. Create dashboards, reports and visualizations to present to stakeholders. Build, deploy and maintain predictive models using machine learning and optimization techniques Analyse large datasets to implement data-driven strategies Design and conduct A/B Testing to refine pricing strategies. … Requirements Python Cloud Platforms Exploratory Data Analysis A/B Testing Machine Learning Libraries This is a great opportunity to add real value to an established organisation to contribute to their exceptional business growth. Benefits: Pension Scheme Discretionary Bonus Flexible Holiday Plans Buy Holiday Options Company Socials Cycle More ❯

be a strong communicator who can explain complex topics effectively to a wide audience. Skills and Experience Expert level knowledge of data science and machine learning, including a range of different techniques such as supervised (e.g. decision trees, random forests), unsupervised (e.g. clustering), and deep learning. Knowledge of … a variety of techniques to deliver organisational benefits Expert level knowledge of exploratory data analysis and statistical analysis of large datasets. Practitioner knowledge of Machine Learning Ops and A/B testing different models Practitioner knowledge of responsible and ethical AI practices Practitioner skills in a scientific programming … language such as Python, R, C++. Experience of innovating and solving business problems through the application of data science or machine learning Ability to think critically and break down complex challenges into addressable projects Experience of measuring benefits of data science solutions and road-mapping improvements Experience of More ❯

the Cambridge office. This role focuses on maintaining and optimising the Linux operating system, file systems, and software stack (Cuda, PyTorch, Python etc) for machine learning projects as well as setting up and configuring NVIDIA HGX servers (installing and updating software, managing user access, and ensuring optimal performance … issues, Working closely with the project manager to ensure efficient resource allocation, server utilisation and scaling across multiple teams, Collaborating with data scientists and machine learning engineers to understand their software requirements and provide guidance on best practices, Assisting in training team members on the capabilities and usage … with a startup mindset. Technology-wise, you will have experience in system administration, preferably with a focus on HPC platforms, GPU-based servers, and machine learning software environment as well as a familiarity with AI and HPC provisioning and management, both on-premises and in the cloud. You 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 ❯

Senior Full Stack Engineer - Java, TypeScript, AWS, MySQL, NoSql, Microservices, Machine Learning, Artificial intelligence (Hybrid - 3 days a week in the office near Notting Hill) Senior Full Stack Engineer :- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning … Ideally a degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. Experience or interest in AI or Machine Learning Salary for the Senior Full Stack Engineer will depend on experience, but expect between £75,000 and £90,000 + Pension + … tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. Senior Full Stack Engineer - Java, TypeScript, AWS, MySQL, NoSql, Microservices, Machine Learning, Artificial intelligence (Hybrid - 3 days a week in the office near Notting Hill) +++++Applicants must have the right to work in the More ❯

Senior Full Stack Engineer - Java, TypeScript, AWS, MySQL, NoSql, Microservices, Machine Learning, Artificial intelligence (Hybrid - 3 days a week in the office near Notting Hill) Senior Full Stack Engineer :- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning … Ideally a degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. Experience or interest in AI or Machine Learning Salary for the Senior Full Stack Engineer will depend on experience, but expect between £75,000 and £90,000 + Pension + … tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. Senior Full Stack Engineer - Java, TypeScript, AWS, MySQL, NoSql, Microservices, Machine Learning, Artificial intelligence (Hybrid - 3 days a week in the office near Notting Hill) +++++Applicants must have the right to work in the More ❯

Salary Range: Description: Senior AI Software Developers required for worldwide AI projects and locations Are you ready to shape the future of AI and Machine Learning web applications as a Senior AI Software Developer? Our global client is on the lookout for visionary Senior AI Engineers to join … Italy, Norway, Finland, New Zealand, South Africa, India, Pakistan, Bangladesh, and Kenya. Key Responsibilities as Senior AI Software Developer: Lead and manage AI and Machine Learning projects at a senior project management level. Drive innovation and collaborate with cross-functional teams to deliver exceptional results. Utilise your expertise … to transform complex requirements into scalable solutions. Qualifications: Proven senior-level experience in AI and Machine Learning project management. Strong problem-solving skills and a passion for innovation. Excellent communication and collaboration abilities. Why apply? Global Impact: Contribute to projects that span across diverse regions. Cutting-Edge Technology 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 ❯

Data Scientist/Computational Biologist to join an exciting start up team. The ideal candidate will have a strong background in biological data analysis, machine learning, and computational biology, with a focus on protein language models and next-generation sequencing (NGS). This role requires an individual who … to study molecular structures and optimise engineering approaches. Collaborate with biologists, data scientists, and engineers to drive innovative research and applications. Implement and optimise machine learning models for biological data interpretation. Work with large-scale biological datasets, ensuring accuracy and efficiency in data processing and analysis. Essential Qualifications … Biology, Bioinformatics, Data Science, or a related field. Strong background in biological data analysis with hands-on experience. Proficiency in machine learning (ML), Python, and related computational tools. Prior experience working with bio data and understanding biological processes. Familiarity with NGS technologies and sequencing data analysis (a major 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 ❯

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 ❯

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 ❯

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 ❯

transcends traditional boundaries, requiring a visionary mindset that anticipates future industry trends and technological advancements. Key responsibilities: Own and deliver company-wide AI and ML initiatives with multi-year, multi-team impact, ensuring scalability and adaptability beyond current business needs. Provide thought leadership and influence Axelera AI's strategic direction … by engaging with senior leadership, external partners, and industry consortiums. Lead the research and development of next-generation AI and ML models, driving significant breakthroughs in efficiency, performance, and innovation. Spearhead engineering best practices, setting a high standard for system architecture, code quality, and team processes. Actively contribute to hiring … and evolving requirements. Drive continuous improvement by leveraging industry best practices, customer insights, and cutting-edge research to enhance Axelera AI's AI/ML solutions. Foster a strong engineering community within Axelera AI by championing hybrid/remote-first collaboration practices, inclusion, and diversity initiatives. Partner with executive leadership More ❯