126 to 150 of 194 Deep Learning Jobs in the UK

end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. Why Join Us? Team - You'll join a world-class group of smart … engineers, articulating complex ideas clearly to technical and non-technical audiences. Analyse and inspect large-scale datasets to support neural training and symbolic extraction. What We're Looking For: Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Experience with … Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals and cloud experience. Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar More ❯

no worrying about how to explain what you do to your family again! In this role you will:? Lead, motivate and inspire teams of Data Scientists? Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and … business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects? Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of More ❯

partnered with a global energy organisation to recruit a contract Senior AI Engineer. This hands-on role is perfect for someone passionate about applying cutting-edge AI and machine learning to solve real-world industrial and customer challenges. You’ll leverage your background in mathematics, computer science, or a related STEM field to deliver innovative AI solutions, tackle complex … teams while also owning technical delivery. Responsibilities for the Senior AI Engineer Design, build and deploy AI/ML systems that drive measurable business impact. Apply advanced AI techniques - deep learning, GNNs, object detection, sensor fusion, embeddings, RAG and generative AI - to create adaptive, self-learning solutions. Provide guidance on AI architecture and scalable deployment for autonomous More ❯

partnered with a global energy organisation to recruit a contract Senior AI Engineer. This hands-on role is perfect for someone passionate about applying cutting-edge AI and machine learning to solve real-world industrial and customer challenges. You’ll leverage your background in mathematics, computer science, or a related STEM field to deliver innovative AI solutions, tackle complex … teams while also owning technical delivery. Responsibilities for the Senior AI Engineer Design, build and deploy AI/ML systems that drive measurable business impact. Apply advanced AI techniques - deep learning, GNNs, object detection, sensor fusion, embeddings, RAG and generative AI - to create adaptive, self-learning solutions. Provide guidance on AI architecture and scalable deployment for autonomous More ❯

technologies, ERP systems and trading platforms. Responsibilities for the Senior AI Engineer Design, build and deploy AI/ML systems that drive measurable business impact. Apply advanced AI techniques - deep learning, GNNs, object detection, sensor fusion, embeddings, RAG and generative AI - to create adaptive, self-learning solutions. Provide guidance on AI architecture and scalable deployment for autonomous More ❯

technologies, ERP systems and trading platforms. Responsibilities for the Senior AI Engineer Design, build and deploy AI/ML systems that drive measurable business impact. Apply advanced AI techniques - deep learning, GNNs, object detection, sensor fusion, embeddings, RAG and generative AI - to create adaptive, self-learning solutions. Provide guidance on AI architecture and scalable deployment for autonomous More ❯

client delivery, and software product design. What You'll Be Doing Lead technical project delivery and shape data science strategy across multiple client engagements Define and implement bespoke machine learning algorithms to solve real-world defence problems Guide technical scoping and planning, working closely with stakeholders to ensure feasibility and impact Mentor and support other data scientists across project … Experience Required Senior-level experience in data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL More ❯

a crucial part in architecting, developing and deploying cutting-edge AI/ML solutions within the financial services domain. About you Hands-on lead experience in AI and machine learning engineering. Skilled in architecting and building AI/ML solutions tailored to financial services, with a solid track record working with financial datasets. Proficient in Python, LLMs and widely … used ML frameworks such as scikit-learn, TensorFlow, and PyTorch. Deep understanding of data engineering principles and industry best practices. Knowledge of scaling AI applications and teams, as you will be a prominent figure in expanding this business function moving forward. Preferred Qualifications: Familiarity with deep learning techniques and natural language processing (NLP). Financial services background More ❯

a crucial part in architecting, developing and deploying cutting-edge AI/ML solutions within the financial services domain. About you Hands-on lead experience in AI and machine learning engineering. Skilled in architecting and building AI/ML solutions tailored to financial services, with a solid track record working with financial datasets. Proficient in Python, LLMs and widely … used ML frameworks such as scikit-learn, TensorFlow, and PyTorch. Deep understanding of data engineering principles and industry best practices. Knowledge of scaling AI applications and teams, as you will be a prominent figure in expanding this business function moving forward. Preferred Qualifications: Familiarity with deep learning techniques and natural language processing (NLP). Financial services background More ❯

AI/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions. This is an exciting opportunity … processing tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation More ❯

applied AI, helping organisations turn cutting-edge computer vision into production-ready solutions. They’re now seeking a Solution Engineer to act as the bridge between world-class machine learning technology and real-world business impact - guiding clients from concept through to deployment. This role sits at the intersection of engineering, product, and customer success - perfect for someone who … enjoys combining deep technical knowledge with hands-on problem solving and direct client interaction. 🔥 What You’ll Get Competitive salary – up to €130,000, depending on experience Opportunity to work with leading-edge computer vision and AI systems Exposure to diverse, global clients across multiple industries Collaborative environment where technical and customer impact go hand in hand 🧠 Your Impact … supporting pre-sales efforts and advising on best practices for deployment and model performance ✅ What We’re Looking For 5+ years of engineering experience in computer vision or machine learning Proven experience working directly with clients to design, prototype, and deploy ML models and computer vision solutions into production Strong understanding of deep learning frameworks (e.g. YOLO More ❯

applied AI, helping organisations turn cutting-edge computer vision into production-ready solutions. They’re now seeking a Solution Engineer to act as the bridge between world-class machine learning technology and real-world business impact - guiding clients from concept through to deployment. This role sits at the intersection of engineering, product, and customer success - perfect for someone who … enjoys combining deep technical knowledge with hands-on problem solving and direct client interaction. 🔥 What You’ll Get Competitive salary – up to €130,000, depending on experience Opportunity to work with leading-edge computer vision and AI systems Exposure to diverse, global clients across multiple industries Collaborative environment where technical and customer impact go hand in hand 🧠 Your Impact … supporting pre-sales efforts and advising on best practices for deployment and model performance ✅ What We’re Looking For 5+ years of engineering experience in computer vision or machine learning Proven experience working directly with clients to design, prototype, and deploy ML models and computer vision solutions into production Strong understanding of deep learning frameworks (e.g. YOLO More ❯

technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including … Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building and deploying APIs Strong visualization and communication skills , with the ability to translate complex technical findings More ❯

technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including … Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building and deploying APIs Strong visualization and communication skills , with the ability to translate complex technical findings More ❯

AI/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role: A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions.This is an exciting … processing tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements: Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation More ❯

product analytics with core focus in customer experience (if available) Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases. Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models. Experience in working with various data sets, including transactional/EPOS, digital, social, loyalty etc. Hands on experience More ❯

apply cutting-edge data science in complex operational environments, balancing innovation with reliability and rigour. You’ll join a deeply technical, collaborative group working on custom AI and machine learning solutions that support automation, forecasting, and decision intelligence. The focus is on strategic value creation: solving ambiguous problems with clarity, and delivering tools that embed into the heart of … Contribute to internal capability-building by sharing knowledge, tools, and best practices within the wider team What They’re Looking For You’ve led the delivery of applied machine learning projects, ideally across commercial or regulated sectors Strong Python skills and comfort using core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise … in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small technical teams, reviewing work, and setting standards for robustness and clarity Experience with stakeholder engagement and translating outputs More ❯

apply cutting-edge data science in complex operational environments, balancing innovation with reliability and rigour. You’ll join a deeply technical, collaborative group working on custom AI and machine learning solutions that support automation, forecasting, and decision intelligence. The focus is on strategic value creation: solving ambiguous problems with clarity, and delivering tools that embed into the heart of … Contribute to internal capability-building by sharing knowledge, tools, and best practices within the wider team What They’re Looking For You’ve led the delivery of applied machine learning projects, ideally across commercial or regulated sectors Strong Python skills and comfort using core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise … in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small technical teams, reviewing work, and setting standards for robustness and clarity Experience with stakeholder engagement and translating outputs More ❯

apply cutting-edge data science in complex operational environments, balancing innovation with reliability and rigour. You’ll join a deeply technical, collaborative group working on custom AI and machine learning solutions that support automation, forecasting, and decision intelligence. The focus is on strategic value creation: solving ambiguous problems with clarity, and delivering tools that embed into the heart of … Contribute to internal capability-building by sharing knowledge, tools, and best practices within the wider team What They’re Looking For You’ve led the delivery of applied machine learning projects, ideally across commercial or regulated sectors Strong Python skills and comfort using core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise … in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small technical teams, reviewing work, and setting standards for robustness and clarity Experience with stakeholder engagement and translating outputs More ❯

into the public sector, looking for multiple ML Engineers. Inside IR35 £400 - £500 per day (depending on experience level) Remote (occasional London travel) Proven experience building and deploying machine learning models in a production environment. Strong programming skills and deep expertise in Python. Hands-on experience building with agentic or RAG (Retrieval-Augmented Generation) frameworks like LangChain or … . Experience with a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). Desirable (but not essential) experience: Working with tools/interfaces for AI applications e.g. MCP protocol. Training traditional ML and DL models using More ❯

feeding into the public sector, looking for multiple ML Engineers.Inside IR35£400 - £500 per day (depending on experience level)Remote (occasional London travel) Proven experience building and deploying machine learning models in a production environment. Strong programming skills and deep expertise in Python. Hands-on experience building with agentic or RAG (Retrieval-Augmented Generation) frameworks like LangChain or … . Experience with a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). Desirable (but not essential) experience: Working with tools/interfaces for AI applications e.g. MCP protocol. Training traditional ML and DL models using More ❯

solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point More ❯

The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer … Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir experience More ❯

The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer … Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir experience More ❯

ROLE IS MIDNIGHT ON 5TH JANUARY 2026 (SUBJECT TO APPLICATION VOLUMES) What we can offer you 10 week placement : starting June 2026, that allows you to apply your university learning to real-world projects and technologies Pension : maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Annual Leave : 5 days Facilities : fantastic site … will have the opportunity to own and guide your own research project, and have exposure to many different projects, in different areas within the department. This means that the learning opportunities are huge, and by the end of the placement you will have a broad-range of hugely applicable experience. You will have the opportunity to shape your own … knowledge of the weapon's design and functionality. Within these tasks, you will have the opportunity to develop skills with the following tools and platforms: Matlab and Simulink Python Deep Learning libraries (e.g. Pytorch, scikit-learn, ONNX) C/C++ Hardware development boards (e.g. NVIDIA Jetson products) Alongside involvement with departmental activities, you will be part of a More ❯