1,199 AI Engineering jobs in the United Kingdom

Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based on results. Maintain clear documentation and contribute to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote options available). Opportunity to work on cutting-edge AI projects. Collaborative and innovative team environment.

Job Title: Contract Deep Learning Engineer

Location: London (Hybrid or On-site)

Contract Type: 6–12 months (with potential extension)

About the Role:

We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis.

Key Responsibilities:

• Design and implement deep learning models using frameworks such as PyTorch or TensorFlow.
• Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies.
• Optimize model performance and scalability for production environments.
• Conduct experiments, evaluate model performance, and iterate based on results.
• Maintain clear documentation and contribute to knowledge sharing across the team.
• Stay up-to-date with the latest research and techniques in deep learning.

Required Skills & Experience:

• Proven experience in developing and deploying deep learning models in production.
• Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras).
• Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.).
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow).
• Strong problem-solving skills and ability to work independently in a fast-paced environment.

Preferred Qualifications:

• MSc or PhD in Computer Science, Machine Learning, or related field.
• Experience with large-scale datasets and distributed training.
• Knowledge of model interpretability and responsible AI practices.

Benefits:

• Flexible working arrangements (hybrid or remote options available).
• Opportunity to work on cutting-edge AI projects.
• Collaborative and innovative team environment.

Job Title: Contract Deep Learning Engineer

Location: London (Hybrid or On-site)

Contract Type: 6–12 months (with potential extension)

About the Role:

We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis.

Key Responsibilities:

• Design and implement deep learning models using frameworks such as PyTorch or TensorFlow.
• Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies.
• Optimize model performance and scalability for production environments.
• Conduct experiments, evaluate model performance, and iterate based on results.
• Maintain clear documentation and contribute to knowledge sharing across the team.
• Stay up-to-date with the latest research and techniques in deep learning.

Required Skills & Experience:

• Proven experience in developing and deploying deep learning models in production.
• Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras).
• Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.).
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow).
• Strong problem-solving skills and ability to work independently in a fast-paced environment.

Preferred Qualifications:

• MSc or PhD in Computer Science, Machine Learning, or related field.
• Experience with large-scale datasets and distributed training.
• Knowledge of model interpretability and responsible AI practices.

Benefits:

• Flexible working arrangements (hybrid or remote options available).
• Opportunity to work on cutting-edge AI projects.
• Collaborative and innovative team environment.

Job Description:nRoyal Canin is undergoing a significant Digital Transformation journey. Our ability to solve the most critical problems across Mars in a User Centric way through Data & Analytics is fundamental to our growth ambition and transformation. Significant early success in this journey, and the introduction of many critical foundational capabilities, means that we are looking to accelerate our ability to solve problems and ultimately drive value for Mars Inc.nThe opportunities are significant for Mars, and the opportunities for those working in this space are both hugely exciting and rewarding. Connecting and deriving break-through insight from our Royal Canin and Petcare data ecosystems, leveraging the rapidly growing world of external data to get closer to our customers and consumers than ever before, and unlocking efficiencies and automation across our End-To-End Value Chain.nBuilding on this momentum, we are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of our Data & Analytics Agenda.nThe Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization’s mission of leveraging advanced technologies to drive innovation and efficiency across the organisation. The role will work closely with the Data Science Lead to develop and execute an AI and ML roadmap aligned with business goals and requirements.nWhat will be your key responsibilities?n• Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A.n• Collaborate with the Data Science team to design, prototype and build next generation ML and AI products and accelerators.n• Design, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation.n• Develop and oversee the implementation of an MLOps and LLMOps strategy. Align and contribute towards the wider Petcare MLOps strategy.n• Review code developed by the data science team to ensure solution can be deployed. Identify opportunities to optimize methodologies.n• Contribute to a high performing data science function through coaching data scientists and providing training on writing scalable code and good software engineering practices.n• Create repeatable, interpretable, dynamic and scalable model training pipelines that are incorporated into analytic data products through cloud web applications and APIs.n• Define key performance indicators (KPIs) and implement monitoring systems for deployed products to ensure continuous operational performance. Define strategy to handle incident management.n• Engage with RC D&A Platform Lead and Platform Product Owner to scope, plan and implement accelerators.n• Stay updated with the latest advancements in MLOps. Apply relevant techniques into projects. Educate D&A on technological advancements in this area.n• Documentation: Maintain comprehensive documentation for model training pipelines, deployment processes, and code.n• Partner with the Product Management squad model and provide advice on how inflight projects can utilise ML and AI to generate additional value.nWhat are we looking for?n• 5-7 years of experience working in a quantitative role preferably in the CPG, or retail industry.n• Proven track record of delivering value through AI/ML/Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively.n• Partner with business leadership across functions and data science teams to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions.n• Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful teamn• A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and usen• Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities.n• Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics.n• Ability to translate business needs into analytical frameworks & superior verbal and written communication skillsn• Working understanding of ML Ops and DevOps frameworksn• Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, DatabricksnWhat can you expect from Mars?n• Work with diverse and talented Associates, all guided by the Five Principles.n• Join a purpose-driven company where we’re striving to build the world we want tomorrow, today.n• Best-in-class learning and development support from day one, including access to our in-house Mars University.n• An industry-competitive salary and benefits package, including company bonus.n#TBDDTnCompany:

MarsnQualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)nTagged as:

Academia ,

Machine Learning ,

NLP ,

United Kingdom

#J-18808-Ljbffrn

Join the forefront of innovation as an AI/ML Engineer specializing in Deep Learning, working in a fully remote capacity. Our client is a cutting-edge technology firm seeking passionate individuals to design, develop, and deploy advanced machine learning models and artificial intelligence solutions. You will play a key role in researching, implementing, and optimizing deep learning algorithms for a variety of applications, contributing to the creation of next-generation intelligent systems. This role demands a strong theoretical understanding of AI/ML principles, coupled with practical experience in building and deploying models in real-world scenarios. We foster a collaborative and dynamic remote environment, encouraging knowledge sharing and continuous learning.

Key Responsibilities:

• Design, develop, and implement deep learning models and algorithms.
• Conduct research into new AI/ML techniques and technologies.
• Preprocess and analyze large datasets for model training.
• Optimize model performance for accuracy, efficiency, and scalability.
• Deploy machine learning models into production environments.
• Collaborate with cross-functional teams to integrate AI/ML solutions into products and services.
• Evaluate and select appropriate frameworks and tools for AI/ML development (e.g., TensorFlow, PyTorch).
• Stay current with advancements in the field of artificial intelligence and machine learning.
• Write clean, well-documented, and maintainable code.
• Contribute to the overall AI strategy and roadmap of the company.

The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, or equivalent practical experience. Proven experience with deep learning frameworks and libraries, as well as proficiency in programming languages such as Python, is essential. Strong analytical, problem-solving, and mathematical skills are required. The ability to work independently, manage complex projects, and communicate technical concepts effectively in a remote setting is paramount. We offer a challenging and rewarding work environment, with opportunities to work on groundbreaking projects and collaborate with leading experts in the field. This is an exceptional chance to advance your career in AI and contribute to shaping the future of technology, all while enjoying the flexibility and autonomy of a remote role. Your expertise in deep learning will be instrumental in driving innovation and pushing the boundaries of artificial intelligence.
This is a fully remote position, ideal for experienced AI/ML professionals looking for flexibility and impact.

Our client, a world-renowned leader in artificial intelligence research and development, is seeking a brilliant and innovative AI Research Scientist specializing in Deep Learning to join their collaborative team. This position offers the chance to push the boundaries of AI, contributing to groundbreaking research and the development of next-generation intelligent systems. You will work on challenging theoretical and practical problems, publishing findings and contributing to open-source projects. This role offers a hybrid working model, balancing focused work at our client's state-of-the-art facilities in Sheffield, South Yorkshire, UK , with the flexibility of remote work.

Responsibilities:

• Conduct cutting-edge research in deep learning, machine learning, and related areas of artificial intelligence.
• Develop novel algorithms and models for complex AI tasks, such as computer vision, natural language processing, or reinforcement learning.
• Design and implement experiments to validate research hypotheses and evaluate model performance.
• Analyze large-scale datasets and extract meaningful insights to inform research directions.
• Collaborate with a team of leading AI researchers and engineers to drive innovation.
• Publish research findings in top-tier scientific conferences and journals.
• Contribute to the development of AI frameworks and tools.
• Stay abreast of the latest academic and industry advancements in AI and deep learning.
• Mentor junior researchers and interns, fostering a culture of learning and discovery.
• Present research work internally and externally to diverse audiences.

The ideal candidate will hold a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong publication record. Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Proven expertise in one or more subfields of AI, such as computer vision, NLP, or generative models, is required. Strong programming skills in Python are a must. Excellent analytical, mathematical, and problem-solving skills are critical. You should possess exceptional communication and collaboration abilities, with the capacity to articulate complex technical concepts effectively. Experience contributing to open-source AI projects is a significant advantage. This role requires a proactive, curious, and highly motivated individual eager to make significant contributions to the field of AI.

Our client is at the forefront of AI innovation and is searching for a brilliant AI Research Scientist specializing in Deep Learning to join their cutting-edge R&D team. This is a unique opportunity to contribute to groundbreaking projects that push the boundaries of artificial intelligence. You will be instrumental in developing novel algorithms, building sophisticated models, and conducting rigorous experiments to advance our AI capabilities. The role involves deep dives into machine learning theory, cutting-edge neural network architectures, and large-scale data analysis. Collaboration with a team of world-class researchers and engineers will be a daily aspect of this role, fostering an environment of shared learning and innovation.

Key Responsibilities:

• Conduct advanced research in deep learning, machine learning, and artificial intelligence.
• Develop, implement, and test new AI algorithms and models.
• Analyse and interpret large datasets to extract meaningful insights and train models.
• Design and execute experiments to validate research hypotheses.
• Publish research findings in top-tier academic conferences and journals.
• Collaborate with software engineers to deploy AI models into production environments.
• Stay current with the latest advancements in AI and machine learning literature.
• Present research progress and results to both technical and non-technical audiences.
• Mentor junior researchers and contribute to a culture of scientific excellence.
• Contribute to the intellectual property portfolio of the company.

The ideal candidate will hold a PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field, with a strong publication record. Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Experience with programming languages like Python and proficiency in numerical computation libraries are required. A solid understanding of statistical methods and data science principles is also crucial. This role is based in **Belfast, Northern Ireland, UK**, and requires the candidate to be on-site full-time to foster close collaboration and access specialised laboratory equipment. We are looking for individuals with exceptional analytical skills, creativity, and a passion for solving complex problems in the AI domain. A strong theoretical foundation coupled with practical implementation skills will be key to success in this challenging and rewarding position.

Our client, a world-renowned research institution at the forefront of scientific innovation, is seeking a Principal Data Scientist specializing in Deep Learning. This is a fully remote, highly influential position where you will lead groundbreaking research and development projects, pushing the boundaries of artificial intelligence and machine learning. You will be instrumental in designing, implementing, and deploying sophisticated deep learning models that address complex scientific challenges across various domains.

As a Principal Data Scientist, you will take ownership of the end-to-end lifecycle of deep learning projects, from conceptualization and data acquisition to model training, validation, and deployment. Your responsibilities will include researching and evaluating state-of-the-art deep learning architectures, developing novel algorithms, and conducting rigorous experimentation to achieve optimal performance. You will collaborate closely with a team of world-class scientists, engineers, and researchers, providing technical leadership and mentorship. The ability to translate complex scientific problems into solvable machine learning tasks and communicate intricate technical details effectively is crucial.

This role requires a deep theoretical understanding of machine learning, statistical modeling, and advanced mathematical concepts, coupled with extensive hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. You will be expected to stay abreast of the latest advancements in the field, contribute to the scientific community through publications and presentations, and potentially file patents. The capacity to manage multiple research initiatives simultaneously, drive innovation, and work autonomously in a fully remote setting is essential.

The ideal candidate will possess a PhD or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field. A strong publication record in top-tier conferences and journals is highly valued. You should have at least 7-10 years of experience in data science and deep learning, with a proven ability to lead complex projects from conception to successful implementation. Exceptional problem-solving skills, a passion for scientific discovery, and outstanding communication abilities are required. This is an unparalleled opportunity to contribute to significant scientific breakthroughs from a remote-first environment.

Key Responsibilities:

• Lead the research and development of advanced deep learning models.
• Design and implement novel algorithms for complex scientific problems.
• Conduct rigorous experiments and validate model performance.
• Mentor and provide technical guidance to junior data scientists and researchers.
• Collaborate with cross-functional teams on cutting-edge projects.
• Publish research findings in leading scientific venues.
• Stay current with advancements in AI, machine learning, and deep learning.

Qualifications:

• PhD or equivalent research experience in Computer Science, AI, or a related quantitative field.
• 10+ years of experience in data science and deep learning.
• Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
• Strong background in machine learning, statistics, and advanced mathematics.
• Proven track record of leading complex R&D projects.
• Excellent research, problem-solving, and communication skills.

This fully remote role offers a unique chance to conduct high-impact scientific research from anywhere, contributing to pioneering work in the field for our client based in **London, England, UK**, but operating globally.

Our client is at the forefront of innovation in artificial intelligence and emerging technologies, and they are looking for a brilliant AI Research Scientist specializing in Deep Learning to join their pioneering team based in Stoke-on-Trent, Staffordshire, UK . This is a fully remote position, offering unparalleled flexibility and the opportunity to work with a world-class team from anywhere. You will be instrumental in conceptualizing, developing, and implementing cutting-edge deep learning models to solve complex real-world problems across various industries. Your work will involve conducting rigorous research, experimenting with novel algorithms, and contributing to high-impact projects that push the boundaries of AI. You will collaborate closely with cross-functional teams, including software engineers and product managers, to translate research findings into practical applications. The ideal candidate will have a deep understanding of machine learning theory, particularly in areas like neural networks, reinforcement learning, and natural language processing. Proven experience in implementing and optimizing deep learning models using frameworks such as TensorFlow, PyTorch, or Keras is essential. You should possess strong programming skills in Python and experience with large datasets and distributed computing environments. We are seeking individuals with a passion for discovery, a strong publication record in top-tier AI conferences, and a Master's or Ph.D. in Computer Science, AI, or a related field. If you are driven by intellectual curiosity and want to make a significant contribution to the future of AI, this remote role is for you.

Key Responsibilities:

• Conduct original research in deep learning and related AI fields.
• Design, implement, and evaluate advanced machine learning models.
• Stay abreast of the latest research and advancements in AI.
• Collaborate with engineers to integrate AI models into production systems.
• Publish research findings in leading academic journals and conferences.
• Mentor junior researchers and contribute to knowledge sharing.
• Analyze and interpret complex datasets to identify trends and insights.
• Develop and refine AI algorithms for improved performance and efficiency.
• Contribute to the strategic direction of AI research within the organization.

Required Qualifications:

• M.S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research and development in deep learning.
• Expertise in at least one major deep learning framework (e.g., TensorFlow, PyTorch).
• Strong programming skills in Python.
• Experience with large-scale data processing and cloud computing platforms (AWS, GCP, Azure).
• Excellent analytical and problem-solving abilities.
• Strong communication skills, both written and verbal.
• Ability to work independently and collaboratively in a remote setting.
• Publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR) is highly desirable.