251 to 275 of 431 Deep Learning Jobs in the UK

primarily provide finite-horizon, statistical, or asymptotic guaranties, and fail to ensure strict safety compliance at runtime. This creates a fundamental gap between scalable learning and certifiable safety. To address this gap, this project aims at developing Certified Reinforcement Learning, a neuro-symbolic framework for learning safe … systems. You will develop novel algorithms that leverage proof certificates. In doing so, you will collaborate with a team of expert researchers in reinforcement learning, formal methods, strategy synthesis, multi-agent systems, and related fields. We strive in publishing in top-tier conferences and journals. What we are looking ...

engineers and data scientists through technical leadership, mentoring and design reviews. • Raise engineering standards across quality, reliability, scalability and production readiness. • Build credibility through deep technical expertise rather than line management responsibility. What you'll bring: Essential criteria: • Deep expertise in Computer Vision, Deep Learning and production machine learning systems. • Experience operating at Lead, Staff or Principal Engineer level, with a track record of technical ownership and influence. • Proven ability to take complex AI systems from concept to scalable, reliable production services. • Strong judgement across model design, system architecture, engineering trade-offs ...

pharmacovigilance; Advise executive stakeholders on AI strategy and translate technical concepts into actionable business outcomes; Define and deliver enterprise-wide AI and machine learning adoption roadmaps aligned with business objectives; Create governance frameworks to meet regulatory and ethical requirements, including GDPR, FDA, and EMA; Prototype Generative … mining, safety monitoring, and patient programs; Collaborate with data engineers, clinicians, and business teams to tailor solutions to client needs; Deploy AI and machine learning models in production using MLOps and LLMOps practices; Use cloud platforms and data solutions to ensure scalability and operational integrity; Present data-driven recommendations ...

prototyping new ideas, and transforming promising innovations into production-ready solutions that create measurable business impact.This role is ideal for someone who enjoys combining deep technical expertise with experimentation and discovery. You'll continuously evaluate new AI capabilities, conduct research and proof of concepts, and help identify opportunities where … unlock new customer and business value. You'll work across Generative AI, Agentic AI, Machine Learning, and LLMs, helping deliver innovative capabilities that create real business value.What you’ll ownAssess, Design, build, optimize and deploy ML/AI models, Foundational models for real-world applicationsContinuously research and evaluate emerging ...

ideas, and transforming promising innovations into production-ready solutions that create measurable business impact. This role is ideal for someone who enjoys combining deep technical expertise with experimentation and discovery. You'll continuously evaluate new AI capabilities, conduct research and proof of concepts, and help identify opportunities where … unlock new customer and business value. You'll work across Generative AI, Agentic AI, Machine Learning, and LLMs , helping deliver innovative capabilities that create real business value. Location: London, United Kingdom What you’ll own Assess, Design, build, optimize and deploy ML/AI models, Foundational models for real ...

core of the role is hands on delivery. Key Responsibilities Model ownership from start to finish: Design, build, and deploy production grade machine learning models, from problem framing and experimentation through to live deployment and monitoring. Technical depth: Apply strong statistical modelling, ML, and (where relevant) NLP/… Contribute to how the wider data science function approaches tooling, methodology, and model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender ...

core of the role is hands on delivery. Key Responsibilities Model ownership from start to finish: Design, build, and deploy production grade machine learning models, from problem framing and experimentation through to live deployment and monitoring. Technical depth: Apply strong statistical modelling, ML, and (where relevant) NLP/… Contribute to how the wider data science function approaches tooling, methodology, and model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender ...

will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will … same.Responsibilities- Designing and implementing AI systems to transform raw data into actionable insights- Leading teams in the development of scalable machine learning models and solutions- Managing complex data analysis and integration to support AI-driven initiatives- Utilizing programming languages such as Python and Java to enhance AI model deployment ...

Engineer within the Workday Products at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions that enhance our Workday Products offerings. Your … technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.Desirable Experience:BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.Familiarity with Workday APIs, data structures, and integration patterns.Experience designing and implementing generative AI solutions using large language models ...

Engineer within the Workday Products at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions that enhance our Workday Products offerings. Your … technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.Desirable Experience:BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.Familiarity with Workday APIs, data structures, and integration patterns.Experience designing and implementing generative AI solutions using large language models ...

Machine Learning Engineer - Spiking Neural Networks Salary: £75,000 to £100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking … Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment has successfully recruited four Engineers ...

part of something bigger.As an Associate AI Engineer within Kainos’ Workday Products division, you will support the team in productionising AI and machine learning solutions, working closely with and under the guidance of senior engineers to help integrate AI models into production systems. You will work closely with data … roles. Good interpersonal skills, with enthusiasm for collaborating with cross-functional teams and communicating technical ideas clearly. Desirable Experience: BSc in Computer Science, Machine Learning, Software Engineering, or a related field Personal, academic, or internship projects demonstrating an interest in AI/ML productionisation. Familiarity with Workday APIs, data ...

part of something bigger.As an Associate AI Engineer within Kainos’ Workday Products division, you will support the team in productionising AI and machine learning solutions, working closely with and under the guidance of senior engineers to help integrate AI models into production systems. You will work closely with data … roles. Good interpersonal skills, with enthusiasm for collaborating with cross-functional teams and communicating technical ideas clearly. Desirable Experience: BSc in Computer Science, Machine Learning, Software Engineering, or a related field Personal, academic, or internship projects demonstrating an interest in AI/ML productionisation. Familiarity with Workday APIs, data ...

Gravity AI/ML Engineer The Gravity AI/ML Engineer will play a pivotal role in extending and shaping the machine learning and AI implementation within Gravity Cloud service. The successful candidate will be able to implement models that to deliver innovate actionable intelligence for Gravity users. … feature extraction, data ingestion, and real‐time inference using cloud‐based or edge‐based architectures. Evaluate and experiment with modern AI methods (e.g., deep learning, time‐series forecasting, reinforcement learning for Wi‐Fi optimization, LLM‐based agents for support flows). Work with broadband gateway telemetry ...

Working within the wider research strategy and architectural vision set by the Senior Staff AI Scientist, you will own significant research programmes and bring deep specialist expertise across AI-driven life sciences, growing your influence over the team’s broader research agenda over time. This is a hands … contribute to the development of more junior AI Scientists. KEY RESPONSIBILITIES Own and lead significant research workstreams in multimodal biomedical foundation model design, bringing deep specialist expertise across at least two biomedical data modalities from multi-omics, clinical and health records, medical imaging. Develop and validate novel approaches ...

looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Rufus, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role … focuses on developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their ...

What you will be doingWe are looking for an exceptional Principal Machine Learning Engineer to lead the engineering build-out of ML and agentic AI across our AML/KYC and Fraud platform. Our products use ML, LLMs and agentic systems to extract entities, risks and relationships from millions … emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customersAbout youAs a Principal Machine Learning Engineer with company-wide impact, you will bring:Substantial experience building, training and productionising machine learning models at scale, including modern deep ...

harness cutting-edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI/ML Lead – Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting‐edge AI techniques with … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent ...

working from home and our offices. Talk to us about how we can best support you! We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science … group priorities. Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data ...

working from home and our offices. Talk to us about how we can best support you!We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science … Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science ...

working from home and our offices. Talk to us about how we can best support you! We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science … Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science ...

looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Alexa for Shopping, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey.This innovative … role focuses on developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences.Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their ...

should be building worlds, not chasing bugs. We're replacing manual QA with autonomous agents that truly understand gameplay. Our small, focused team combines deep machine learning research with strong commercial execution, driven to solve some of the hardest problems in game development. Just over a year … CLIP, Flamingo) from scratch or checkpoints. You know exactly what happens inside the transformer block. Build for the Real World You have successfully deployed deep learning models into production environments where latency and cost matter. You understand the brutal reality of trade-offs between model size and inference ...

Recommendations team builds models that power discovery at Depop, helping millions of users find items that they will love. As a Staff Machine Learning Scientist, you’ll set the technical vision for our next-generation recommendation models, lead high-impact initiatives, and mentor others to drive innovation at scale. … Proven track record in designing, deploying, and optimizing large-scale recommendation systems, including candidate retrieval and ranking models, with measurable impact in production environments. Deep understanding of machine learning fundamentals and applied experience with architectures including collaborative filtering, deep learning, and hybrid recommendation approaches. Proven ability ...

with academia, and rapid iteration from research insight to deployed technology. ResponsibilitiesLead and execute independent research in speech generative AI, audio modeling, and multimodal learning (text and visuals), with a strong focus on modern large-scale model architectures. Design, analyze, and advance state-of-the-art AI models … training procedures, including foundation models, representation learning, and generative systems for speech and audio. Maintain strong technical currency with the latest developments in model architectures, optimization techniques, data scaling, and training strategies, and apply them creatively to audio and multimodal problems. Demonstrate deep understanding of both audio signal ...