1,076 to 1,100 of 4,092 Machine Learning Jobs in the UK

also building out the team, processes, and infrastructure needed to support enterprise-scale AI adoption. What You’ll Do Lead AI strategy & execution - Define the AI vision across GenAI, ML, and Data Science disciplines. Build and lead an internal AI Centre of Excellence. Act as the primary AI representative in leadership and product discussions. Deliver generative AI solutions - Design and … systems) Set up scalable LLMOps pipelines: model evaluation, versioning, and governance. Monitor developments in the GenAI landscape and evaluate adoption paths. Support machine learning projects - Collaborate with ML Engineers on classical ML initiatives Guide model lifecycle processes including training, deployment, and monitoring. Provide hands-on support with experimentation pipelines and MLOps tooling. Lay the groundwork for Data Science … hiring strategy. About You Must-Haves Experience delivering production-ready GenAI solutions Solid grasp of LLMs, prompt engineering, and RAG workflows Familiarity with MLOps practices and deployment of classical ML models Competence in statistical modelling and A/B testing frameworks Proficiency in Python and at least one other programming language Strong understanding of cloud environments (ideally AWS) Proven team More ❯

machine learning to optimize seller experiences and maintain fee integrity at unprecedented scale. We're seeking an exceptional Applied Scientist to push the boundaries of large-scale ML systems in a business-critical domain. This role presents unique opportunities to • Architect and deploy state-of-the-art transformer-based models for fee classification and anomaly detection across hundreds … LLMs to analyze product attributes, images, and seller metadata for intelligent fee determination • Build production-scale generative AI systems for fee integrity and seller communications • Advance the field of ML through novel research in high-stakes, large-scale transaction processing • Develop SOTA causal inference frameworks integrated with deep learning to understand fee impacts and optimize seller outcomes • Collaborate with … to solve complex problems at the intersection of deep learning, economics, and large business systems. If you're passionate about advancing the state-of-the-art in applied ML/AI while tackling challenging problems at global scale, we want you on our team! Key job responsibilities Responsibilities: . Design measurable and scalable science solutions that can be adopted More ❯

strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools … AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to … production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. More ❯

Daniel Blackwell on: Location: UK Remote Tyne and Wear Newcastle upon Tyne NE12 8BX A leading company is looking foran AI Engineer to drive the integration of AI and machine learning into their products. This role sits at the intersection of AI research, product strategy, and engineering, transforming complex AI concepts into real-world applications. Key Responsibilities: Develop … teams to ensure successful AI implementation. Translate business requirements into technical solutions. Manage relationships with AI vendors and industry partners. What You'll Bring: Degree in Computer Science, AI, ML, or a related field. Experience in developing and deploying AI/ML solutions. Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong understanding of LLMs, NLP, and machine learning algorithms. MLOps knowledge and experience with version control systems. Back-end engineering skills in Python or Node.js (willingness to upskill in Node.js/TypeScript). Ability to explain AI concepts to technical and non-technical stakeholders. Problem-solving mindset and ability to lead AI-driven initiatives. Bonus Skills: Experience with AWS and cloud-based AI solutions. Knowledge More ❯

AI Center-Cambridge, our Distributed AI group collaborates closely with the Generative AI and Speech AI teams within the Embedded AI division, to develop innovate machine learning (ML) algorithms and systems, with the overarching objective to deliver state-of-the-art efficient AI models across Samsung consumer devices. To this end, we focus on high-impact projects that … balance research and commercial outcomes. Our group conducts research on on-device and edge-based ML systems, focusing on model/system and hardware/software co-design, adaptive inference methods, robotic systems, and the optimized on-device deployment of large language models (LLMs) and multimodal visual language models (VLMs). Position Summary At the Samsung AI Center-Cambridge, our … Distributed AI group collaborates closely with the Generative AI and Speech AI teams within the Embedded AI division, to develop innovate machine learning (ML) algorithms and systems, with the overarching objective to deliver state-of-the-art efficient AI models across Samsung consumer devices. To this end, we focus on high-impact projects that balance research and commercial More ❯

Model (LLM) technologies to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval … to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems … retrieval - 2+ years experience in building machine learning or deep learning models for large scale customer facing product or features. - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) - Solid software development experience - Good written and verbal communication skills Amazon is committed to a diverse and inclusive workplace. Amazon is More ❯

and market needs. Define detailed product requirements for AI features, working closely with data scientists and engineers to ensure high-quality execution. Help drive the development and integration of machine learning models and AI algorithms into the product. Continuously monitor industry trends, competitor products, and emerging AI technologies to keep the product competitive and innovative. Collaborate with engineering … Microsoft centric tech background Microsoft based, Neo4j, vector database, Azure 3+ years of experience in product management, with at least 1-2 years of experience working with AI/ML-driven products. Experience working with large-scale AI systems or machine learning models. Familiarity with cloud platforms mainly Azure, and how they support AI/ML product development. More ❯

and market needs. Define detailed product requirements for AI features, working closely with data scientists and engineers to ensure high-quality execution. Help drive the development and integration of machine learning models and AI algorithms into the product. Continuously monitor industry trends, competitor products, and emerging AI technologies to keep the product competitive and innovative. Collaborate with engineering … Microsoft centric tech background Microsoft based, Neo4j, vector database, Azure 3+ years of experience in product management, with at least 1-2 years of experience working with AI/ML-driven products. Experience working with large-scale AI systems or machine learning models. Familiarity with cloud platforms mainly Azure, and how they support AI/ML product development. More ❯

and market needs. Define detailed product requirements for AI features, working closely with data scientists and engineers to ensure high-quality execution. Help drive the development and integration of machine learning models and AI algorithms into the product. Continuously monitor industry trends, competitor products, and emerging AI technologies to keep the product competitive and innovative. Collaborate with engineering … Microsoft centric tech background Microsoft based, Neo4j, vector database, Azure 3+ years of experience in product management, with at least 1-2 years of experience working with AI/ML-driven products. Experience working with large-scale AI systems or machine learning models. Familiarity with cloud platforms mainly Azure, and how they support AI/ML product development. More ❯

with senior stakeholders, and lead the adoption AI. Key Responsibilities Lead and mentor a team of data scientists, from mid-level to lead. Identify, prioritise, and deliver high-value ML projects aligned with business goals. Work closely with senior stakeholders to gain buy-in for data-driven strategies. Oversee model deployment, monitoring, and recalibration to maximise impact. Ensure full adoption … of a Google Cloud-based ML Ops platform. Drive education and advocacy for data science across the business. What We’re Looking For Strong experience leading a high-performing data science team. 6+ Years experience A track record of developing and deploying commercially impactful ML solutions. Proficiency in Python, SQL, and cloud-based ML environments (GCP preferred). Excellent stakeholder … with a passion for AI and innovation. Experience deploying large language models in a business setting. Background in personal lines insurance (health or life). Experience with Google Cloud ML Ops tooling. If this looks of interest, please reach out to Joseph Gregory More ❯

with senior stakeholders, and lead the adoption AI. Key Responsibilities Lead and mentor a team of data scientists, from mid-level to lead. Identify, prioritise, and deliver high-value ML projects aligned with business goals. Work closely with senior stakeholders to gain buy-in for data-driven strategies. Oversee model deployment, monitoring, and recalibration to maximise impact. Ensure full adoption … of a Google Cloud-based ML Ops platform. Drive education and advocacy for data science across the business. What We’re Looking For Strong experience leading a high-performing data science team. 6+ Years experience A track record of developing and deploying commercially impactful ML solutions. Proficiency in Python, SQL, and cloud-based ML environments (GCP preferred). Excellent stakeholder … with a passion for AI and innovation. Experience deploying large language models in a business setting. Background in personal lines insurance (health or life). Experience with Google Cloud ML Ops tooling. If this looks of interest, please reach out to Joseph Gregory More ❯

a Junior AI & Data Scientist to join our forward-thinking London-based team and contribute to transformative AI initiatives from day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics … cutting-edge AI systems—chatbots, recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of a team where experimentation, creativity, and emerging tech are at the heart of everything we do. Tailored Compensation: Competitive salary, early-career benefits, and … development opportunities in the AI space. What We’re Looking For: A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face More ❯

a Junior AI & Data Scientist to join our forward-thinking London-based team and contribute to transformative AI initiatives from day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics … cutting-edge AI systems—chatbots, recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of a team where experimentation, creativity, and emerging tech are at the heart of everything we do. Tailored Compensation: Competitive salary, early-career benefits, and … development opportunities in the AI space. What We’re Looking For: A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face More ❯

with senior stakeholders, and lead the adoption AI. Key Responsibilities Lead and mentor a team of data scientists, from mid-level to lead. Identify, prioritise, and deliver high-value ML projects aligned with business goals. Work closely with senior stakeholders to gain buy-in for data-driven strategies. Oversee model deployment, monitoring, and recalibration to maximise impact. Ensure full adoption … of a Google Cloud-based ML Ops platform. Drive education and advocacy for data science across the business. What We’re Looking For Strong experience leading a high-performing data science team. 6+ Years experience A track record of developing and deploying commercially impactful ML solutions. Proficiency in Python, SQL, and cloud-based ML environments (GCP preferred). Excellent stakeholder … with a passion for AI and innovation. Experience deploying large language models in a business setting. Background in personal lines insurance (health or life). Experience with Google Cloud ML Ops tooling. If this looks of interest, please reach out to Joseph Gregory More ❯

Research Scientist to join our Data and Decision Support Capability within the Innovation and Technology division. The ideal candidate will have a strong background in Machine Learning (ML) and/or statistical signal processing, with excellent Python programming skills and extensive experience with relevant libraries and toolboxes. You will join our Advanced Information Processing (AIP) group, focusing on … developing novel inference algorithms and applying AI/ML to sequential (time-series) data and decision-making processes. This role offers opportunities to work on AI/ML research projects for clients in the space, defense, security, and commercial sectors, as well as internal BAE Systems programs. You will also have the chance to collaborate with academic partners and develop … your research interests. The Data and Decision Support Capability encompasses teams working on AI/ML for RF, EW, radar, sonar, data fusion, reinforcement learning, agent-based ML, autonomy, signal processing, edge ML, image analysis, computer vision, generative AI, large language models (LLMs), knowledge graphs, NLP, and graph ML. You will collaborate with multidisciplinary teams on these topics. Typical More ❯

of backend Software Engineers to evolve Snap's consumer-facing Gen AI products, including Image AI Lenses, Video AI Lenses and Gen AI features for Snapchat+ Collaborate with Product, Machine Learning, Engineering, Research, Data Science teams , and executive stakeholders to iterate on existing Gen AI products and launch new ones Facilitate technical planning, code reviews, and ensure high … performing team members Knowledge, Skills & Abilities: Experience setting the direction for customer-facing product teams leveraging Machine Learning/Generative AI Track record of delivery high availability ML-based backend products at scale in rapidly changing, highly collaborative, multi-stakeholder environments Strong management and mentorship skills, fostering a collaborative and innovative team culture via positive leadership Ability to … and decision making Preferred Qualifications: Background in Machine Learning Proven track of closely collaborating with Machine Learning teams for launching consumer-facing Gen AI or ML-powered products Proven track of closely collaborating with Mobile Software Engineers on launching consumer products Experience with building and maintaining mission-critical and highly-available global systems If you have More ❯

Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for … the future. Role Overview You will be developing the company's production trading systems and data pipelines that support our machine learning models in both production and research environments. Collaboration with research and trading teams is essential to meet diverse requirements and complex trading behaviors. Team Environment We seek talented engineers who enjoy solving complex problems with innovative … real-time distributed trading systems that execute orders based on our machine learning models. Design and optimize large-scale data processing systems for historical and real-time ML feature pipelines. Enhance the resilience and performance of trading and data processing systems. Build tools to integrate and validate data from multiple vendors, ensuring consistency and reliability. Take ownership of More ❯

in product management including experience working in a technical, data, AI or machine learning PM role. Must have a strong technical background Has launched Gen AI or ML based features into production running a team of engineers including ML engineers/data scientists Good knowledge of Gen AI trends, tools and technical landscape and a genuine interest in … What you'll be doing You'll be responsible for: Running the day-to-day of the AI Foundation team - organising sprint work, running refinements, working with engineers including ML engineers, to write epics and stories, managing roadmap. Ability to work independently to unblock engineers and problem-solve. Working with 3rd parties developing Gen AI foundations and eco-system integrated … into our architecture. Overseeing all specific work around prompt improvements, Building core foundations for LLM based products including evaluation frameworks, monitoring, analytics, ML pipelines, model APIs and integrations, system evaluation tools. Collaborating with a product designer, content designer and UX researcher - designing & delivering new features. Leading the team in establishing initiatives that are set and measured as part of the More ❯

the customer experience of ground-breaking products? Then come join us and make history. We are looking for a passionate, talented, and inventive Applied Scientist with a background in Machine Learning to help build industry-leading Speech, Language, Audio and Video technology. As an Applied Scientist at Amazon you will work with talented peers to develop novel algorithms … models for digital vocal arts applications. Participate in research activities including the application and evaluation and digital vocal and video arts techniques for novel applications. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. BASIC QUALIFICATIONS - Experience with generative deep learning models applicable to the creation of synthetic humans … like CNNs, GANs, VAEs and NF - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience with programming languages such as Python, Java, C++ PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in patents More ❯

the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and … and integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. BASIC QUALIFICATIONS - 6+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience … learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Excellent technical publications and material contributions to the CV/ML/AI field as related to image and video processing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need More ❯

Products (SP) helps merchants, retail vendors, and brand owners grows incremental sales of their products sold on Amazon through native advertising. SP achieves this by using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. We are a highly motivated, collaborative and fun-loving group with an entrepreneurial … creativity, experimentation, and product innovation. Key job responsibilities - Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon. - Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity. - Develop real-time machine learning algorithms to allocate billions of ads per day in advertising … Scientists to the team and provide mentorship. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel More ❯

our websites annually. What are we looking for An experienced product manager who is driven to take our prediction model to the next level. Your passion for AI and ML will mean that you are driven to transform the student journey with your innovative approach. What you'll be doing You will lead the development of machine learning … student's journey - whether it's a personalised email, a tailored message, or a human follow-up - generated dynamically using Generative AI. You will work closely with data scientists, machine learning engineers, and operational teams to build, launch, and optimise these models and systems, making them a core part of how we support students globally. What are you … KPIs to measure model accuracy, engagement impact, and enrolment outcomes, and continuously drive improvements. Ensure all AI-driven activities are compliant with data privacy and ethical standards. Translate complex machine learning concepts into actionable features and tools for business users. Regularly collaborate with marketing, enrolment, and student advisory teams to align AI-driven actions with real-world student More ❯

high-quality GenAI imagery, videos and CXs that inspire customers and drive purchase confidence, towards our vision to be the leader in visual media and tools. You will develop machine learning, computer vision and generative AI solutions that create beautiful, accurate, and impactful imagery and videos at scale. Required Qualifications: PhD or MS in Computer Science, Computer Vision … Machine Learning or related field Strong background in deep learning, particularly in computer vision and generative AI Preferred Qualifications: PhD in Computer Science, Machine Learning or related fields Experience with multimodal understanding and foundation models Background in image/video synthesis, 3D computer vision, or visual quality assessment Track record of scientific publications in top … realism, and customer impact Collaborate with cross-functional teams to integrate science solutions into production systems BASIC QUALIFICATIONS - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms - Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS More ❯

data-driven strategies. Data Management: Identify, collect, clean, and process relevant datasets, ensuring seamless handover to Data Engineers. Model Development: Create and deploy predictive and prescriptive models using Azure ML Studio and Azure DevOps. Effective Communication: Present findings clearly through visualisation and reporting, including interactive dashboards and web applications using Power BI, R Shiny, or Python Flask. MLOps Maintenance: Maintain … a candidate with a blend of essential skills and experience, including: Hands-On Experience: Proven experience in data science and machine learning model deployment, preferably with Azure ML Studio. MLOps Proficiency: Strong understanding of pipeline management and model versioning. Data Manipulation Skills: Expertise in data extraction, transformation, and reshaping using SQL, R/Tidyverse, and Python/Pandas. … BI, R Shiny, and Python Flask. Agile Methodology: Familiarity with Git and Azure DevOps for version control and agile task management. Statistical Acumen: Solid understanding of statistical methods and machine learning algorithms. Effective Communication: Ability to convey complex technical concepts to both technical and non-technical audiences. Problem-Solving Attitude: Strong proactive approach to identifying and resolving challenges. More ❯

Build Engineer – Machine Learning Team UK, Remote About RevEng.AI RevEng.AI is leading the way building ground-breaking foundational AI models to detect security threats inside software. Our mission is to build AI for understanding the contents and … behaviour of software, without having access to the source code. We do this by combining static and dynamic program analysis with state-of-the-art AI models. We use ML to assist our customers in binary reverse engineering, vulnerability detection, exploit generation, software supply chain security, and malware detection. Job Description We are seeking a skilled Build Engineer to design … be responsible for automating the build process for extensive volumes of Windows and Linux software under various compiler configurations and optimisation settings. This role involves close collaboration with our Machine Learning and Engineering teams to ensure reliable, scalable, and efficient build infrastructure that supports our AI model training and development workflows. Key Responsibilities • Design and maintain automated build More ❯