123 Research Engineer Ml AI Computer Vision jobs in the United Kingdom

**Summary:**
Meta Reality Labs Research (RL Research) brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AI and AR/VR technology across the spectrum. The Surreal Spatial AI group is seeking high-performing research engineers to build machine perception technology allowing AI agents and systems to perceive and understand the 3D world around them.The aim of this role is to develop, advance and integrate ML and computer vision models and SW systems for advanced, full-stack, real-time, Machine Perception and AI prototypes for egocentric devices such as Meta's Project Aria; Including 3D environment and object reconstruction, semantic understanding as well as estimation and understanding of user motion, actions and activities.
**Required Skills:**
Research Engineer, ML, AI & Computer Vision Responsibilities:
1. Implement and prototype advanced research systems and technologies spanning device and cloud, in the domain of AI and machine perception
2. Collaborate with team members throughout the lifetime of a project, from early research through technology and experience prototyping
3. Play a critical role in the definition and execution of system research roadmaps in partnership and cross functional organizations in computer vision, machine learning, graphics, sensors, optics and silicon
4. Collaborate with cross-functional engineering and research teams from Reality Labs and FAIR in computer vision, machine learning, and graphics
**Minimum Qualifications:**
Minimum Qualifications:
5. Bachelor's degree in Computer Science, Computer Vision, Robotics or a related technical field
6. Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence
7. Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python
**Preferred Qualifications:**
Preferred Qualifications:
8. Experience with distributed systems or on-device algorithm development
9. Industry experience working on projects such as: real-time Simultaneous Localization and Mapping and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing.
10. Experience in deep learning and PyTorch
11. MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field.
**Industry:** Internet

Berlin | Vollzeit | Hybrides Arbeiten möglich

Wir suchen Dich – für den nächsten Schritt in der Welt der KI-gestützten Bildverarbeitung!

Du brennst für Machine Learning und Deep Learning? Dein Herz schlägt für innovative Anwendungen in Computer Vision und Bildanalyse? Dann komm in ein Team, das sich der Weiterentwicklung intelligenter Bildbearbeitungslösungen verschrieben hat!

Deine Aufgaben

Übernimm eine zentrale Rolle in unserem Innovationsteam und entwickle KI-gestützte Teilprozesse für Bilderkennung, Retusche und Bildoperationen weiter.

Konzipiere und implementiere Machine-Learning- und Deep-Learning-Modelle – insbesondere CNNs – mit Fokus auf Stabilität, Performance und Kundennutzen.

Nutze umfangreiche Datensätze aus bearbeiteten und unbearbeiteten Bildpaaren als Grundlage für Training und Optimierung deiner Modelle.

Bringe deine Ideen ein, teste neue Ansätze und entwickle Lösungen, die die Qualität und Effizienz unserer Services auf ein neues Level heben.

Voraussetzungen

Fundierte Erfahrung in Machine Learning und Deep Learning – idealerweise mit Schwerpunkt auf Convolutional Neural Networks (CNNs).

Kenntnisse in Computer Vision und Bildanalyse-Techniken (z. B. Filterung, Segmentierung, Merkmalsextraktion) sind ein starkes Plus.

Souveräner Umgang mit Frameworks und Libraries wie TensorFlow, PyTorch, Keras oder OpenCV.

Spaß an praxisnaher Entwicklung und dem kreativen Einsatz großer Bilddatenbestände.

Du sprichst fließend Deutsch oder Englisch.

Vorteile

Ein abwechslungsreiches Umfeld mit echten Gestaltungsmöglichkeiten und viel Raum für neue Ideen.

Flexible Arbeitszeiten, die Möglichkeit auf Homeoffice und ein Standort mitten in Berlin mit exzellenter Verkehrsanbindung – Jobticket-Zuschuss inklusive.

Moderne Tools, hochwertige Ausstattung und ein großartiges, kollegiales Team.

Kostenlose Snacks, Obst, Kaffee und regelmäßige Teamevents gehören für uns genauso dazu wie gezielte Unterstützung bei Seminaren und Fortbildungen.

Wir legen Wert auf eine offene, vertrauensvolle Arbeitsatmosphäre – niemand schaut dir über die Schulter, das Ergebnis zählt!

Klingt spannend? Wir freuen uns darauf, dich kennenzulernen! Bewirb dich einfach direkt über unser Online-Formular oder sende uns deine Unterlagen inklusive Starttermin und Gehaltsvorstellung.

Snap Inc ( is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat ( , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio ( , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles ( .
**Snap Inc ( **is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are** **Snapchat ( **, a visual messaging app that enhances your relationships with friends, family, and the world;** **Lens Studio ( **, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses,** **Spectacles ( **.**
**The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world. Our fifth-generation Spectacles, powered by Snap OS, showcase how standalone, see-through AR glasses make playing, learning, and working better together.**
**The Spectacles team is looking for a Machine Learning Engineer to join the AR team in London, UK!**
**In this role, you will be working on state of the art machine learning and computer vision technologies to straddle the boundaries between the real and the virtual world with the next generation of Snap's wearable computing devices.** **Working from our London office, you will be collaborating closely with other Spectacles software and hardware teams around the world.**
**What you'll do:**
+ **Develop and productise novel technologies for the next generation of wearable AR devices.**
+ **Explore and advance state-of-the-art machine learning and computer vision algorithms.**
+ **Develop and deploy machine learning models.**
+ **Work together with our cross-functional engineering and research teams in computer vision, machine learning and AR engineering.**
**Knowledge, Skills & Abilities:**
+ **Deep understanding of machine learning principles, solutions and frameworks to develop networks and models for computer vision tasks**
+ **Ability to understand, debug and improve existing code as well as develop new algorithms using advanced computer vision and machine learning techniques.**
+ **Strong communications and interpersonal skills.**
+ **A genuine passion for learning new things and helping colleagues improve.**
**Minimum Qualifications**
+ **Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience**
+ **Extensive experience post-Bachelor's computer vision/machine learning experience; or Master's degree in a technical field + extensive experience of post-grad computer vision/machine learning experience; or PhD in a relevant technical field + 4 years of post-grad computer vision/machine learning experience**
+ **Experience in developing machine learning models for at least one of the following areas: geometric scene understanding, semantic scene reconstruction, neural scene representation, monocular depth estimation, visual localisation**
**Preferred Qualifications**
+ **Msc/PhD in related field (Computer Vision, Machine Learning)**
+ **Experience in integrating Machine Learning models into Augmented Reality solutions**
+ **Experience in neural network optimization (pruning, quantization, distillation) to deploy efficient models to resource-constrained devices.**
+ **Experience in geometric computer vision such as SLAM, VIO, Tracking, multi-view 3D reconstruction, Depth Estimation etc.**
+ **Experience with software development in C++**
If you have a disability or special need that requires accommodation, please don't be shy and provide us some information ( .
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
Our Benefits ( : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
**A Decade of Snap ( **:** Learn about our origin story, values, mission, culture of innovation, and more.
**CitizenSnap ( **:** In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.
**The DEI Innovation Summit ( **:** Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.
**Snap News ( **:** Stay up to date on the latest and greatest product and innovation news at Snap
Applicant and Candidate Privacy Policy (

Freelance AI Trainer (Artificial Intelligence & Machine Learning)

£400 - £500 per day | Remote / UK-Based | Contract / Freelance

Are you an expert in Artificial Intelligence (AI) and Machine Learning (ML) looking for flexible freelance opportunities? We are seeking an experienced AI Trainer to deliver AI and Machine Learning training courses to professionals and organisations across the UK.

As part.

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WHJS1_UKTJ

An exciting opportunity has arisen for a Researcher in Computer Vision and Machine Learning to join a world-class AI research centre based in Cambridge.

This permanent, full-time role is ideal for an ambitious researcher with a strong background in Computer Vision and Deep Learning who is looking to work on cutting-edge problems at the intersection of Vision and Language. As part of the Future Interaction Research Programme, you'll have the chance to publish at top-tier conferences and shape the future of human-centric AI technologies.

Key Responsibilities for a Researcher in Computer Vision and Machine Learning based in Cambridge:

• Conduct innovative, hands-on research in Computer Vision, Deep Learning, and Vision & Language.
• Publish research findings at top international conferences (CVPR, ICCV, ECCV, ICLR, NeurIPS, ICML, ACL, etc.).
• Drive conceptual and methodological innovation, contributing to the centre's long-term research goals.
• Collaborate with product and engineering teams to support the transfer of advanced research into commercial applications.

Areas of Interest Include:

• Contrastively trained and auto-regressive Vision & Language models (e.G. CLIP, BLIP)
• Visual LLMs (e.G. LLaVA)
• Generative models (e.G. Stable Diffusion, auto-regressive models)
• Efficient architectures for deployment
• Model compression (quantization, distillation)
• Efficient adaptation of large models

What We're Looking For:

• Proven research experience in Computer Vision and/or Machine Learning
• Strong knowledge of deep learning frameworks (e.G. PyTorch)
• A track record of publication in leading conferences/journals (CVPR, NeurIPS, ICML, etc.)
• Excellent communication and collaboration skills
• Experience with Vision and Language models or related areas is advantageous

This is a permanent, full-time position for a Researcher in Computer Vision and Machine Learning based in Cambridge, UK. If you are passionate about pushing the boundaries of AI and want to work in a stimulating and impactful environment, we would love to hear from you.

APPLY NOW to join an elite research team working on the frontier of artificial intelligence.

Send your CV to (url removed) or call Rachael on (phone number removed).

**Job Description Summary**
We are seeking a proactive and technically adept Quality Director with deep expertise in Artificial Intelligence (AI) and Machine Learning (ML) to lead innovation in our quality management processes. The ideal candidate will bring a strategic blend of quality assurance leadership and advanced AI/ML knowledge to design, implement, and oversee cutting-edge, data-driven quality initiatives that enhance product reliability, operational efficiency, and regulatory compliance.
The successful candidate will have solid experience working in complex multinational corporate environments, ideally within the energy sector, industrial automation, smart infrastructure, or related industries. This experience will enable them to navigate diverse organizational structures and drive quality transformation on a global scale, aligning quality strategies with broader business objectives.
**Job Description**
**Essential Responsibilities**
+ Lead the development and continuous improvement of quality processes at the Electrification Systems level, including Non-Conformance (NC) management, FMEA, Root Cause Analysis (RCA), and supplier quality processes.
+ Drive the adoption of advanced data analytics, AI, and Machine Learning techniques to enhance quality monitoring, predictive analytics, and process optimization.
+ Develop and implement the digital quality roadmap, ensuring integration with evolving business needs and technology trends.
+ Collaborate with cross-functional teams such as Test Engineering, Quality, Sourcing, Procurement, and Manufacturing to ensure seamless execution of New Product Introduction (NPI) and Life Cycle Support (LCS) projects.
+ Lead change management and continuous improvement initiatives, using lean principles and data-driven insights to close performance gaps.
+ Provide leadership, mentorship, and technical guidance to the HQ Quality team and broader Electrification leadership.
+ Partner with internal and external stakeholders to identify best practices, leverage industry trends, and enhance Grid Solutions' competitive quality position.
**Must-Have Requirements**
+ Master's or PhD degree in Engineering, Computer Science, Electrical Engineering, Mathematics, Statistics, or related fields from an accredited institution, with solid academic foundations in the mathematical principles of AI and ML (e.g., statistics, probability, linear algebra, optimization).
+ Solid knowledge of Artificial Intelligence (AI) and Machine Learning (ML) concepts and practical applications, required to be considered for this role.
+ Several years of proven leadership experience within quality management, guiding teams and projects to successful outcomes.
+ Demonstrated expertise in quality process development and management, including Non-Conformance (NC) handling, FMEA, Root Cause Analysis (RCA), and supplier quality processes.
+ Advanced skills in scientific data analytics and digital tools (e.g., Python, R, Tableau, Power BI) to lead AI, Machine Learning, and advanced analytics initiatives that transform quality processes.
+ Experience developing and implementing digital quality strategies, owning digital quality roadmaps, and applying change management methodologies such as SAFe in multinational or complex organizational environments.
+ Extensive communication and interpersonal skills, with the ability to influence at all organizational levels.
**At GE we are electrifying the world with advanced grid technologies. As leaders in the energy space our goal is to accelerate the transition for a more energy efficient grid to full fill the needs of tomorrow. With a focus on growth and sustainability GE Grid Solutions plays a pivotable role in integrating Renewables onto the grid to drive to carbon neutral. In Grid Solutions we help enable the transition for a greener more reliable Grid. GE Grid Solutions has the most advanced and comprehensive product and solutions portfolio within the energy sector.**
**Why we come to work:**
At GE Renewable Energy, our engineers are always up for the challenge - and we're always driven to find the best solution. Our projects are unique and interesting, and you'll need to bring a solution-focused, positive approach to each one to do your best. Surrounded by committed, loyal colleagues, if you can dare to bring your ingenuity and desire to make an impact, you'll be exposed to game-changing, diverse projects that truly allow you to play your part in the energy transition.
**What we offer:**
A key role in a dynamic, international working environment with a large degree of flexibility of work agreements
Competitive benefits, and great development opportunities - including private health insurance.
**Additional Information**
**Relocation Assistance Provided:** No
#LI-Remote - This is a remote position
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Office locations for this role include - Bristol, Burton, Warrington, Gloucester and Glasgow.

Salary range is £52,500pa - £4,500pa depending on experience.

Do you want to help us create a safe and secure world through the delivery of transformational and trusted autonomous technologies?

We seek to develop novel autonomous systems for a better world, working with the latest sensors, deploying our technology to advanced computing platforms and experimenting with novel vehicles.

Our team works closely with customers and users, ensuring we are solving real problems in a way that can be deployed in real situations. This means the systems we develop must be safe, reliable and trustworthy.

We are looking to grow our team with intelligent, talented and motivated people to continue to deliver transformational technology.

The role presents a unique opportunity to work on cutting edge technology and see your ideas deployed in the real world, becoming a key figurehead within our Engineering Area. We often work on projects which develop ideas into live system demonstrations in 12 months or less.

This rapid development cycle can only succeed with a team which has the skills and abilities to understand and solve unexpected challenges.

To achieve this, you will be:

• Researching and understanding the current state of the art to select the best set of technologies to apply to the problem.
• Developing and integrating the solutions to work in simulations and on physical platforms to characterise and develop performance.
• Working with customers and users to understand their needs and constraints, developing concepts and methods which could solve their problems.
• Supporting trials and demonstrations to customers and users.
  

Your role would focus on specifying, developing and delivering AI based technical solutions. You would be supported in taking a senior project role, which would likely involve capability development, client engagement, project and financial responsibility.

You would have the opportunity to keep developing your own technical and consultancy skills, but also to mentor and support more junior staff helping them reach their potential.

If you’re interested in joining our team, please submit your CV along with a short covering letter detailing why you feel you’d be a good fit for this role.

Requirements

This role would suit someone with solid technical experience looking to take the next step and move into a wider leadership role.

Our ideal team member would meet the following requirements:

• Experience specifying, developing, and deploying AI approaches to solve real-world problems.
• Strong experience in modern computer vision techniques
• Ability to communicate complex information to both technical and non-technical audiences.
• Skilled with common Python deep learning frameworks (e.g. TensorFlow and PyTorch)
• Experience in deploying to edge AI hardware
  

We’d love to hear if you have any other relevant experience, such as experience of geo spatial data processing, generative AI techniques, reinforcement learning, optimisation or non-visible sensing technologies.

Due to the nature of the work that Frazer-­Nash Consultancy undertake, candidates will be required to undergo pre-employment screening and must be able to satisfy clearance criteria for UK National Security Vetting.

Benefits

• Happy To Talk Flexible Working
• Competitive salary: [£52,500 4,500]
• 25 days' holiday entitlement
• Holiday sale and purchase scheme
• Company pension scheme
• Targeted professional development
• Life assurance
• Private healthcare membership
• Bonus scheme linked into company performance
• Paid membership fees to a professional institution
• Support in attaining professional membership

• Cycle to work scheme
• Season rail ticket loan

Role: Machine Learning Operations Engineer
Location: Oxfordshire
Salary: 65,000 - 75,000

This is an exciting opportunity to join a world leading company specialising in motion capture and tracking systems, with products used globally in the entertainment, engineering, and life sciences sectors. My Client are looking for a talented Machine Learning Operations Engineer to support and enhance their cutting edge machine learning capabilities.

The Role

You will join a collaborative Research and Development team based in Oxford, contributing to the development and maintenance of a modern ML operations stack. This includes data acquisition pipelines, data management, and machine learning model training infrastructure. The environment includes both self-managed on premise systems and cloud-based infrastructure, primarily using AWS.

You will have the opportunity to influence the technical direction of the ML Ops team, propose new areas for development, and potentially lead your own projects.

This is a hybrid role combining remote and on site working. There is no expectation to be available outside core business hours.

Key Responsibilities

• Maintain and improve ML Ops infrastructure
• Manage on premise Kubernetes clusters and ML pipelines
• Integrate ML toolkits into operational workflows
• Collaborate with ML developers to streamline workflows
• Suggest and implement technical improvements and new tools

Required Skills and Experience

• Academic background (research Masters level) or industry experience in a relevant field
• Strong experience managing on premise Kubernetes clusters
• Deep knowledge of Kubeflow or similar systems such as MLflow
• Proficient in Python and experienced with Linux systems
• Familiar with AWS services such as Cognito, S3, EC2 and Lambda
• Experience working with ML frameworks such as PyTorch or Lightning
• Capable of designing and delivering ML Ops solutions across various platforms

Desirable Skills

• Background in DevOps with experience in CI systems such as Jenkins
• Familiarity with infrastructure as code tools such as Ansible
• Interest in human motion capture, sports tech, or animation
• Exposure to C++ is a bonus

Benefits

• 65,000 - 75,000 (DOE)
• 10 percent company pension
• 25 days annual leave plus bank holidays
• Life assurance
• Private medical insurance including dental and optical
• Permanent health insurance
• Cycle to work scheme
• Free on site parking

WR Engineering are the #1 recruitment partner for engineering, manufacturing & technical sales jobs. We recruit for permanent and contract jobs UK wide.

WR is acting as an Employment Agency in relation to this vacancy.