583 Machine Learning Developer jobs in the United Kingdom
Principal MLOps Machine Learning Operations Developer for AI Research

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25WD90720
Job Title: Principal MLOps _Machine Learning_ Operations Developer for AI Research
**Position Overview**
The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.
As a MLOps Developers at Autodesk Research, you will be working side-by-side with world-class AI researchers to build and scale foundation models trained on design data. You will focus on overcoming the challenges associated with large-scale _model_ training and processing of vast amounts of diverse design data. Your expertise in distributed systems, ML infrastructure, and data engineering will be crucial in developing the next generation of ML-powered product features that will help our customers imagine, design, and make a better world.
You'll be joining a rapidly growing team working on a project that aims to revolutionize the design of nearly every aspect of the built environment. Your contributions will directly influence how designers, architects, and engineers interact with AI tools in the future.
This role is fully remote-friendly. Our team operates primarily remotely with team members distributed across the globe, with offices in London, Boston, Toronto and other locations worldwide. At Autodesk, we embrace remote work while fostering connection through regular team offsites for collaborative planning and relationship building. This balanced approach ensures you can work where you're most productive while maintaining meaningful connections with colleagues.
**Responsibilities**
+ Support AI researchers by building scalable ML training pipelines and infrastructure for foundation _model_ development
+ Design efficient data processing workflows for large-scale design datasets and industry-specific file formats
+ Optimize distributed training systems and develop solutions for _model_ parallelism, checkpointing, and efficient resource management
+ Analyze performance bottlenecks and provide solutions to scaling problems
+ Implement and maintain robust, testable code that is well documented and easy to understand
+ Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
+ Present results to collaborators and leadership
**Minimum Qualifications**
+ BSc or MSc in Computer Science or related field, or equivalent industry experience
+ Experience with distributed systems for _machine learning_ and deep learning at scale
+ Strong knowledge of ML infrastructure and _model_ parallelism techniques, including frameworks like _PyTorch_ , Lightning, Megatron, DeepSpeed, and FSDPProficiency in Python and strong software engineering practices
+ Experience with cloud services and architectures (AWS, Azure, etc.)
+ Familiarity with version control, CI/CD, and deployment pipelines
+ Excellent written documentation skills to document code, architectures, and experiments
**Preferred Qualifications**
+ Experience with AEC data formats (e.g., BIM models, IFC files, CAD files, Drawing Sets)
+ Knowledge of the AEC industry and its specific data processing challenges
+ Experience scaling ML training and data pipelines for large datasets
+ Experience with distributed data processing and ML infrastructure (e.g., Apache Spark, Ray, Docker, Kubernetes)
+ Experience with performance optimization, monitoring, and efficiency in large-scale ML systems
+ Experience with Autodesk or similar products (Revit, Sketchup, Forma)
**The Ideal Candidate**
+ A self-starter who can solve problems with minimal supervision while collaborating effectively with a global, remote-first team
+ Adaptable and creative, comfortable building new infrastructure or working within existing codebases
+ Thrives in ambiguous, rapidly evolving areas where learning and flexibility are essential
+ Excellent communicator who can convey complex technical concepts clearly to diverse audiences
#LI-JK3
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).
Lead Quantum Computing Researcher - Algorithm Development
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As the Lead Quantum Computing Researcher, you will be responsible for designing, developing, and optimizing quantum algorithms for a variety of applications, including drug discovery, materials science, financial modeling, and optimization problems. You will lead a team of researchers, guiding them through the entire research lifecycle, from theoretical exploration to implementation and validation on quantum hardware and simulators. Your work will directly contribute to developing practical solutions that leverage the power of quantum computation.
Key Responsibilities:
- Lead the design and development of novel quantum algorithms for specific problem domains.
- Collaborate with domain experts to identify high-impact applications for quantum computing.
- Implement and test quantum algorithms using quantum programming languages and simulators (e.g., Qiskit, Cirq, PennyLane).
- Analyze the performance and scalability of quantum algorithms and identify areas for optimization.
- Stay at the forefront of advancements in quantum computing hardware and software.
- Mentor and guide junior researchers, fostering a collaborative and innovative research environment.
- Publish research findings in leading scientific journals and present at international conferences.
- Contribute to grant proposals and secure research funding.
- Translate theoretical concepts into practical, executable quantum code.
- Evaluate and benchmark the performance of algorithms on various quantum computing platforms.
Required Qualifications:
- Ph.D. in Physics, Computer Science, Mathematics, or a related field with a specialization in quantum information science or quantum computing.
- 5+ years of postdoctoral or industry research experience in quantum computing.
- Demonstrated expertise in developing and analyzing quantum algorithms (e.g., Grover's, Shor's, QAOA, VQE).
- Proficiency in programming quantum computers using SDKs like Qiskit, Cirq, or PennyLane.
- Strong understanding of quantum mechanics, linear algebra, and quantum information theory.
- Experience with classical algorithms and optimization techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven leadership and team management capabilities.
- Exceptional communication and presentation skills, with a track record of publications and conference presentations.
- Ability to work effectively in a fully remote, collaborative team environment.
Brighton, East Sussex, UK
Graduate Software Developer (Machine Learning)
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Graduate Software Developer - AI & Machine Learning
Posted today
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Key Responsibilities:
- Develop, test, and deploy software applications.
- Write high-quality, efficient, and well-documented code.
- Collaborate with senior developers and data scientists.
- Implement AI and Machine Learning algorithms and models.
- Participate in code reviews and agile development processes.
- Contribute to the design and architecture of new features.
- Debug and troubleshoot software issues.
- Assist in the creation of technical documentation.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Strong foundation in programming languages (e.g., Python, Java, C++).
- Understanding of AI and Machine Learning concepts is a plus.
- Familiarity with software development methodologies.
- Excellent problem-solving and analytical skills.
- Good communication and teamwork abilities.
- Eagerness to learn and adapt to new technologies.
Graduate Software Developer - AI & Machine Learning
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As a Graduate Software Developer, you will be involved in various stages of the software development lifecycle, including coding, testing, debugging, and documentation. You will assist in data preparation, feature engineering, and the training and evaluation of machine learning models using Python and relevant libraries such as TensorFlow, PyTorch, and Scikit-learn. Your responsibilities will also include contributing to the development of APIs for AI models, writing clean and efficient code, and participating in code reviews. You will learn to work effectively in an agile development process and utilize remote collaboration tools to communicate and share progress with your team.
The ideal candidate is a recent graduate with a strong academic background in Computer Science, Software Engineering, Artificial Intelligence, Mathematics, or a related quantitative field. You should possess foundational programming skills, ideally in Python, and a genuine passion for AI and machine learning. Eagerness to learn, strong analytical skills, and the ability to work independently and as part of a remote team are essential. Excellent problem-solving abilities and good communication skills are also highly valued. This fully remote internship provides an excellent platform to kickstart your career in the tech industry, working on impactful projects from anywhere in the UK. The position is located in Reading, Berkshire, UK , but is entirely remote.
Graduate Software Developer - AI & Machine Learning
Posted today
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- Assisting in the development, implementation, and testing of machine learning models and algorithms.
- Writing clean, efficient, and well-documented code in Python or other relevant programming languages.
- Collaborating with senior developers to integrate AI models into existing software platforms and applications.
- Gathering, cleaning, and pre-processing data for training and evaluating ML models.
- Conducting research on new AI techniques and frameworks to identify potential applications and improvements.
- Participating in code reviews and contributing to team discussions on software design and architecture.
- Developing and maintaining unit tests and integration tests to ensure code quality and reliability.
- Creating visualizations and reports to present model performance and insights.
- Learning and applying best practices in software development, version control (e.g., Git), and agile methodologies.
- Documenting project progress, findings, and technical specifications.
We are looking for penultimate or final year students, or recent graduates, with a strong academic background in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related quantitative field. Demonstrable experience with Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) is highly desirable. Familiarity with cloud platforms (AWS, Azure, GCP) and database technologies is a plus. You should possess excellent analytical and problem-solving skills, a passion for learning, and the ability to work independently in a remote setting. This internship is a fully remote position, allowing you to work from your chosen location within the UK. It offers a competitive stipend, invaluable industry experience, and the potential for a full-time graduate position upon successful completion.
Graduate Software Developer - AI & Machine Learning
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Graduate Software Developer - AI & Machine Learning
Posted today
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As a Graduate Software Developer, your responsibilities will include:
- Assisting senior developers in the design, development, and testing of AI and ML algorithms and applications.
- Writing clean, efficient, and well-documented code in languages such as Python, Java, or C++.
- Collaborating with data scientists and researchers to implement and optimize machine learning models.
- Participating in code reviews and contributing to the continuous improvement of software development practices.
- Troubleshooting and debugging software issues, providing effective solutions.
- Developing user interfaces and APIs for AI-powered applications.
- Researching and evaluating new technologies and frameworks relevant to AI/ML.
- Documenting technical specifications, user guides, and best practices.
- Working within an agile development environment, participating in daily stand-ups and sprint planning.
- Learning and applying advanced software engineering principles and data science concepts.
We are looking for candidates who have recently graduated or are in their final year of a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field. A strong foundation in programming fundamentals, data structures, and algorithms is essential. Familiarity with AI/ML concepts, libraries (e.g., TensorFlow, PyTorch, scikit-learn), and tools is a significant advantage. Excellent problem-solving abilities, a keen eye for detail, and a proactive approach to learning are highly valued. Candidates should possess strong communication skills and be able to work effectively both independently and as part of a team. This is an exceptional opportunity to gain invaluable experience and develop a successful career in a fast-paced, high-growth industry. Competitive salary and benefits are offered.
Staff Data Science
Posted 1 day ago
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Salary: 110,000 - 130,000
Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future data capabilities and have a measurable impact on business performance.
The Role
You'll take ownership of modelling and analysing telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You'll be working with clean, structured sensor and movement data, including accelerometer, GPS, and signal data, and developing models that deliver direct commercial and customer value.
This role is the most senior individual contributor position within the data team, making you the technical authority on geospatial data science, modelling approaches, and best practices.
What You'll Do
- Build and deploy advanced geospatial and telematics models from the ground up
- Design data products that optimise movement patterns and reduce inefficiencies
- Lead technical direction as the most senior IC
- Work with product and engineering partners to deliver production-ready solutions
- Ensure models deliver measurable impact across efficiency and experience
What We're Looking For
- Proven expertise in geospatial, telematics, or spatial data science
- Strong experience building and deploying end-to-end data products in production
- Excellent skills in modelling movement, sensor, and GPS datasets
- Track record of operating at a senior IC level, setting technical standards
- Experience in high-growth or data-first environments is desirable
Package & Benefits
- Up to 130K
- Equity and performance-based equity bonuses
- Private healthcare
- Pension contribution
If you're a Staff Data Scientist with deep expertise in geospatial and telematics data and want to build a new product from scratch in a scaling InsurTech, we'd love to hear from you.
Staff Data Scientist
Data Science Engineer
Posted 1 day ago
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We are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and AI technologies.
Key Responsibilities
Develop and implement AI-driven solutions for complex data science challenges.
Work with Large Language Models (LLMs) to create and optimize intelligent systems.
Collaborate with cross-functional teams to ensure solutions meet project requirements.
Contribute to projects in the pharma/life sciences domain (if applicable).
Requirements
Minimum 5 years of experience in AI solution development.
Hands-on experience with Large Language Models (LLMs).
Proven track record as a Data Science Developer/Engineer.