76 to 100 of 194 Deep Learning Jobs in the UK

global financial services firm in the search for a Head of Data Science a strategic and delivery-focused leader who will drive enterprise-wide impact through advanced analytics, machine learning, and generative AI. This is a high-profile opportunity to lead a global team and embed data science into the core of decision-making, product innovation, and operational excellence. … science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in More ❯

global financial services firm in the search for a Head of Data Science a strategic and delivery-focused leader who will drive enterprise-wide impact through advanced analytics, machine learning, and generative AI. This is a high-profile opportunity to lead a global team and embed data science into the core of decision-making, product innovation, and operational excellence. … science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in More ❯

Job Title: Graduate Machine Learning Engineer Location: Northampton, UK (Hybrid) Employment Type: Full-Time Salary: £35,000 - £40,000 About the Company Intellect Group is proud to be partnering with a fast-growing technology start-up at the forefront of Machine Learning and Artificial Intelligence innovation. This dynamic and forward-thinking company is building advanced data-driven solutions … that are reshaping industries — from predictive analytics and automation to generative AI applications. As they continue to expand their technical team, they are seeking a Graduate Machine Learning Engineer who is passionate about developing intelligent systems and eager to contribute to real-world AI challenges. The Role This is an exciting opportunity for a highly motivated graduate to join … products. The ideal candidate will combine strong technical foundations with creativity, curiosity, and a willingness to learn in a fast-paced environment. Key Responsibilities Research, develop, and implement machine learning models for real-world applications. Collaborate with cross-functional teams to integrate ML solutions into production systems. Conduct data preprocessing, feature engineering, and model evaluation using modern frameworks. Contribute More ❯

GDM Coding - Freelance (20 to 40 hours a week) Job Description: Responsibilities: Model Quality Assessment: Evaluate the quality of AI model responses that include code, machine learning, AI, identifying errors, inefficiencies, and non-compliance with established standards. Code Annotation and Labeling: Accurately generate, annotate and label code snippets, algorithms, and technical documentation according to project-specific guidelines. Review and … Kotlin Knowledge of web technologies & frameworks Web Scraping, API integration, HTML/CSS/JavaScript Web application development (e.g. Flask) Frontend (e.g. React) and backend (e.g. Node.js) development Machine Learning & Artificial Intelligence Machine Learning (General concepts, model development, experimentation, training, evaluation) Deep Learning (General, frameworks like TensorFlow, PyTorch, JAX, Keras, neural networks, CNNs, RNNs, transformer architecture … LSTM) Natural Language Processing (NLP) Reinforcement Learning (e.g., PPO, Q-learning, policy gradients, A2C, DQN, AlphaZero) Computer Vision (e.g., image processing, analysis, instance segmentation, OCR, deepfake detection More ❯

growing, research-focused organisation developing innovative predictive models to assess and manage risk. This is a fantastic opportunity to work on cutting-edge projects where your analytical and machine learning expertise will directly influence high-impact decision-making tools. What You’ll Do Design, train, and validate machine learning models to predict and quantify risk using diverse, high … volume datasets. Work closely with data engineers and domain specialists to prepare, clean, and analyse structured and unstructured data. Apply advanced statistical, machine learning, and deep learning techniques to extract insights and improve predictive accuracy. Present findings and model outputs clearly to technical and non-technical audiences. Contribute to the ongoing development of ML workflows, tools, and More ❯

Type: Contract (6 months, with extension likely) Start Date: Immediate/Within 2-4 weeks Job Description: We are seeking an experienced and highly motivated Lead Software Engineer with deep expertise in Artificial Intelligence (AI) , Machine Learning (ML) , and Python development to lead the design, development, and deployment of intelligent systems and data-driven applications for a leading … with at least 3 years in AI/ML. Strong proficiency in Python , including libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch . Solid understanding of ML algorithms , NLP , deep learning , and statistical methods. Experience with Docker, Kubernetes , and cloud platforms like AWS/Azure/GCP . Hands-on experience with MLOps tools (MLflow, SageMaker, Kubeflow, etc. More ❯

Senior Machine Learning Scientist (London) London, England Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be … service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. … dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer More ❯

Senior Machine Learning Engineer Location: Cambridge (Hybrid) Salary: £60,000 – £70,000 + Share Options A growing AI company is developing intelligent imaging software that applies advanced machine learning to medical data, improving diagnostic accuracy and speed. As a Senior Machine Learning Engineer, you’ll design, train and deploy ML models for medical image analysis, working with … and integrate AI pipelines within scalable production environments Collaborate with data, clinical and software teams to ensure robust, validated outputs Skills & Experience MSc/PhD in Computer Science, Machine Learning or related discipline 3+ years’ experience developing ML models, with a strong focus on medical imaging Proven track record using deep learning frameworks (PyTorch/TensorFlow) Solid More ❯

expertise in AI and data science with proven leadership in delivering enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture, and development processes. … Contribute to business development activities, including bid writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present … within large organisations) through RFI/RFP responses, bid documentation, and client presentations. Hands-on experience with data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn . Expertise in cloud platforms ( AWS , Azure , Google Cloud ) and experience deploying solutions using cloud provisioning tools such as Terraform More ❯

expertise in AI and data science with proven leadership in delivering enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture, and development processes. … Contribute to business development activities, including bid writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present … within large organisations) through RFI/RFP responses, bid documentation, and client presentations. Hands-on experience with data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn . Expertise in cloud platforms ( AWS , Azure , Google Cloud ) and experience deploying solutions using cloud provisioning tools such as Terraform More ❯

Machine Learning/Data Engineer £700-750/day overall assignment rate to umbrella Fully remote 3-6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company … that combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments. We're looking … for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong More ❯

startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from … who want to see their models not just trained, but deployed, adopted, and driving measurable results. What You’ll Do Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into … cloud platforms, and MLOps best practices to build scalable, reusable solutions. Communicate insights clearly: Distill complex technical findings into concise, actionable narratives for technical and business audiences alike. Keep learning and pushing boundaries: Expand your engineering toolkit across the full ML development lifecycle—from prototyping to deployment—and explore new architectures, tools, and approaches to solving complex, real-world More ❯

startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from … who want to see their models not just trained, but deployed, adopted, and driving measurable results. What You’ll Do Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into … cloud platforms, and MLOps best practices to build scalable, reusable solutions. Communicate insights clearly: Distill complex technical findings into concise, actionable narratives for technical and business audiences alike. Keep learning and pushing boundaries: Expand your engineering toolkit across the full ML development lifecycle—from prototyping to deployment—and explore new architectures, tools, and approaches to solving complex, real-world More ❯

Overview The Senior Data Scientist is responsible for developing and implementing advanced data science models, machine learning algorithms, and predictive analytics solutions to drive business insights, product innovation, and operational efficiencies at IMS. This role plays a critical part in enhancing telematics, mobility, and insurance technology solutions through data-driven decision-making, statistical analysis, and AI-driven automation. The … a strategic mindset to solve complex problems using data science. This position is a vital component of the business, and is responsible for: Responsibilities Develop, train, and deploy machine learning models for risk scoring, behavioural analytics, fraud detection and extreme event detection. Optimize feature engineering, model performance, and real-time inference pipelines for large-scale datasets. Work on supervised … unsupervised, and reinforcement learning models to enhance decision-making. Leverage telematics, mobility, and insurance data to generate actionable insights and product improvements. Statistical Analysis and Data Modelling Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and business opportunities. Ensure robustness and scalability of data science pipelines, minimizing bias and improving accuracy. Data Engineering and Infrastructure Collaborate with the More ❯

and mission-driven impact on the world of sport. The Opportunity: They are now looking for a Senior Applied Researcher/Data Scientist to join a high-performing Machine Learning team that’s building AI solutions at scale for real-world applications in sports. You'll apply state-of-the-art techniques in computer vision and deep learning … globally. Collaborate closely with engineers and data scientists to develop end-to-end solutions that deliver real value to users. Technical Requirements: Strong experience in computer vision and machine learning, especially in areas like: Multi-object tracking Event detection Multi-view geometry Deep learning-based video analysis Proven experience bringing ML products from concept to production at More ❯

and mission-driven impact on the world of sport. The Opportunity: They are now looking for a Senior Applied Researcher/Data Scientist to join a high-performing Machine Learning team that’s building AI solutions at scale for real-world applications in sports. You'll apply state-of-the-art techniques in computer vision and deep learning … globally. Collaborate closely with engineers and data scientists to develop end-to-end solutions that deliver real value to users. Technical Requirements: Strong experience in computer vision and machine learning, especially in areas like: Multi-object tracking Event detection Multi-view geometry Deep learning-based video analysis Proven experience bringing ML products from concept to production at More ❯

Lead Machine Learning Engineer Location: London (Hybrid) Salary: Highly Competitive + Benefits We’re partnered with an innovative AI company building world-class technology that powers real-time voice and audio intelligence. Their products use deep learning and signal processing to isolate speech, eliminate background noise, and enhance communication clarity across enterprise, consumer, and high-performance sectors. … They’re now looking for a Lead Machine Learning Engineer to take a hands-on leadership role within their R&D team. This position combines technical ownership and strategic direction , guiding the research, development, and deployment of machine learning models for real-time speech enhancement. Responsibilities: Lead the design, training, and optimisation of ML models for speech separation … product teams to integrate ML systems into live products. Contribute to the company’s long-term AI strategy and technical roadmap. Requirements: MSc or PhD in Computer Science, Machine Learning, or Signal Processing. Proven experience in leading or mentoring ML/AI engineering teams. Deep understanding of digital signal processing and speech/audio modelling . Proficiency with More ❯

Lead Machine Learning Engineer Location: London (Hybrid) Salary: Highly Competitive + Benefits We’re partnered with an innovative AI company building world-class technology that powers real-time voice and audio intelligence. Their products use deep learning and signal processing to isolate speech, eliminate background noise, and enhance communication clarity across enterprise, consumer, and high-performance sectors. … They’re now looking for a Lead Machine Learning Engineer to take a hands-on leadership role within their R&D team. This position combines technical ownership and strategic direction , guiding the research, development, and deployment of machine learning models for real-time speech enhancement. Responsibilities: Lead the design, training, and optimisation of ML models for speech separation … product teams to integrate ML systems into live products. Contribute to the company’s long-term AI strategy and technical roadmap. Requirements: MSc or PhD in Computer Science, Machine Learning, or Signal Processing. Proven experience in leading or mentoring ML/AI engineering teams. Deep understanding of digital signal processing and speech/audio modelling . Proficiency with More ❯

to learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, Natural Language Processing and Deep Learning. Our Data Scientists are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, designing and building models, and deploying them into production. … from you. Apply now and help shape the future of claims automation. Responsibilities Develop features for our state-of-the-art claims automation platform Research, build and deploy machine learning algorithms and models to production within product teams Provide technical guidance and input on the design and implementation of machine learning algorithms Support with customer PoVs and onboarding … product requirements and help translate these into technical solutions Execute and deliver full AI/ML solutions from sourcing training data, design and implementing state-of-the-art machine learning models, testing, benchmark and product-driven research for model performance improvement, to shipping stable, tested, performant code in an agile environment. Work closely with Product Managers to help shape More ❯

Senior Machine Learning/AI Engineer Position Overview: We are seeking a Senior Machine Learning/AI Engineer with expertise in Databricks, MLOps/LLMOps, and cloud-native architecture . The candidate must have recent experience implementing data science solutions in Databricks and be comfortable deploying web applications via containerized workflows (Docker, Kubernetes). This role involves building … scalable AI/ML systems, deploying LLMs, and operationalizing models in production. Key Responsibilities: Design, develop, and deploy ML, Deep Learning, and LLM solutions. Implement scalable ML and data pipelines in Databricks (PySpark, Delta Lake, MLflow). Build automated MLOps pipelines with model tracking, CI/CD, and registry. Deploy and operationalize LLMs , including fine-tuning, prompt optimization More ❯

generation and audio delivery system to enhance accessibility and emotional engagement and searching for the ML Engineer to work remotely that's going to make it happen! Senior Machine Learning Engineer - Speech/Voice AI (remote)Contract length: 3-monthIR-35 determination: OutsideLocation: Fully remote Our client is a technology-enabled wellbeing platform that supports neurodiverse users and individuals … life. They offer businesses a personal productivity app featuring tools for task breakdown, priority-setting, and structured support to manage anxiety, procrastination, and executive dysfunction. The platform combines tailored learning resources, assistive technology guidance, and mental health content in one accessible space. It serves both students and professionals, helping them build resilience, independence, and sustainable wellbeing through behaviour-change … real-time playback and consistency across devices.- Create an inclusive, emotionally intelligent audio experience that deepens user connection and supports lasting behavioural wellbeing. Required skills:- Strong background in Machine Learning/Deep Learning with hands-on experience in speech or audio processing.- Experience fine-tuning or deploying modern TTS models (e.g. VITS, Bark, or FastSpeech2).- Proficiency More ❯

Machine Learning Engineer – On-Device Health Monitoring Cambridge (1 day a week) Up to £80,000 + Equity + Benefits About the Role We’re working with a pioneering health-tech start-up that’s transforming the way we measure human health through sound. Their mission is to create the world’s leading foundation model for turning sound into … health insights — enabling preventative health monitoring through devices people already own. They’re now looking for a Machine Learning Engineer to build and optimise on-device ML models for health and biosignal monitoring, helping take their technology from proof of concept to a production-ready product. You’ll be at the forefront of developing models that run efficiently on … hands-on technical role that offers full exposure to the early-stage startup experience — from prototyping and experimentation to strategic product decisions. Key Responsibilities Develop, optimise, and deploy machine learning models for on-device health monitoring. Experiment with architectures and apply techniques such as quantisation, pruning, and compression to improve efficiency. Collaborate with cross-functional teams to take research More ❯

Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based … synthesizing findings into actionable threat intelligence to better protect our customers.The team's core disciplines are data engineering, data science, devops, and security. We use data science and machine learning to process large volumes of data and build threat intelligence for Cloudflare's customers About the Role We're looking for a Machine Learning Engineer to join our … team and lead the charge in applying cutting-edge machine learning to cyber threat intelligence. In this highly impactful, hands-on role, you'll design, develop, and deploy scalable machine learning models that leverage massive datasets from our global network to identify and neutralize sophisticated cyber threats. Your expertise will directly enhance our Cloudforce One offering, providing critical More ❯

the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machine learning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machine learning models … optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machine learning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize opportunities to rapidly deliver new capabilities Build … and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A More ❯

the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machine learning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machine learning models … optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machine learning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize opportunities to rapidly deliver new capabilities Build … and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A More ❯