123 Staff AI Engineer Computer Vision Ml jobs in the United Kingdom
Research Engineer, ML, AI & Computer Vision
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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 scientists 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, 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. MSc or PhD degree in Computer Science, Computer Vision, Robotics or a related technical field
6. Experience developing and designing Computer Vision and Perception for Robotics or smart device technologies and systems
7. 5+ years of experience with a mastery of modern features in C++
8. Experience working in a Unix environment
9. Interpersonal experience: cross-group and cross-functional collaboration
**Preferred Qualifications:**
Preferred Qualifications:
10. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub.)
11. Industry experience working on projects such as: real-time SLAM and 3D reconstruction, scene understanding, robotics and agentic AI systems including autonomous driving
12. Broad experience with distributed systems, cloud services, or on-device algorithm development
13. 3+ years of industry or postdoctoral experience as full-stack software engineer.
**Industry:** Internet
Research Engineer, ML, AI & Computer Vision
Posted today
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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
AI Specialist (m/w/d) – Computer Vision & Deep Learning
Posted 15 days ago
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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 AufgabenÜbernimm 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.
VoraussetzungenFundierte 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.
VorteileEin 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.AI Business Development Director
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In the current climate, many of NTT DATA's clients are unsurprisingly looking for advice and solutions related to AI. NTT DATA UK already has a phenomenal reputation in this area, we want to go further and faster in 2025. We are looking for Business Development professionals to join our newly established AI Practice to drive this growth.
As a Business Development Director reporting to the Head of AI Practice, you'll be part of a team of specialists who work with our industry-facing client partners to drive AI sales. This is a fast-paced area of IT, so you will need to be continuously learning, be self-driven and think creatively about solving client problems. You'll work with others to reflect back the views of our clients and prospects and help to continuously shape our go to market approach. You may be personally hunting for new logos or working with our existing clients to help them move faster with AI. In either case, a growth mindset is essential to this type of work.
While you will have a personal sales target, remuneration is not attached to a percentage of what you personally achieve - we play a team game and are looking for team players.
**What you'll be doing:**
+ Understanding NTT DATA's offerings primarily in AI but also maintaining an awareness of other offerings so as to be able to pass opportunities on to colleagues working in other areas. You will contribute to the evolution of these AI offerings and a regular update is expected to be the new normal. Note that our offering is broad and ranges from infrastructure to strategic advisory services.
+ Building trusted client relationships by understanding the pain points in their industry and organisation.
+ Describing how our offerings solve client challenges and memorising the key points of case studies that showcase our work.
+ Following up on new leads and pursuing the sales journey to the point of contract - the latter stages of this involve liaising with delivery teams.
+ Working with partners as needed by the opportunity (we have a Partners team, so close liaison with them will be essential)
+ Maintaining an understanding of the key trends in AI, while recognising that the pace is of change is significant and that upskilling must be kept in balance with the other demands of the role
+ Keeping track of opportunities and client conversations in our tracking tools, primarily Salesforce
+ Attending conferences and events which will further the above ambitions
+ Travelling to meet clients in person whenever the client makes this possible - particularly for initial meetings - we believe in the power of face-to-face communications.
+ Using your personal network to create leads
+ Being part of our AI Practice Community where we all share learning and insight
**What experience you'll bring:**
+ Minimum of 6 years of Business Development expertise
+ Prior experience in selling AI solutions or platforms for at least 1 year
+ Experience of selling bespoke software or infrastructure services (experience of product sales while helpful is not enough)
+ Experience in at least one of the following industries: Telco, Insurance, Banking, Utilities, Retail, Manufacturing, Public Sector
+ Demonstrable knowledge of key trends in AI
+ The ability to creatively apply the technology to a client problem - we have technical experts to support and validate but you must bring ideas of your own
+ Excellent problem-solving skills
+ Autonomy and proactivity - a self-starter
+ Entrepreneurial spirit
+ Motivation to acquire knowledge in the area
+ Ability to gain SC clearance is an advantage
**Who we are:**
We're a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women's Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA ( we'll offer you:**
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK & Ireland here: are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
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Researcher In Computer Vision And Machine Learning
Posted 18 days ago
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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).
Machine Learning Engineer
Posted 1 day ago
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Job Description:
We are seeking an experienced Machine Learning Engineer with expertise in big programmes and has contributed to the delivery of complex business cloud solutions. The ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform).
Responsibilities:
- Collaborate with Data Scientists and operationalize the model with auditing enabled, ensure the run can be reproduced if needed. li>Implement Databricks best practices in building and maintaining economic modelling (Machine Learning) pipelines.
- Ensure the models are modular. Ensure the model is source-controlled with agreed release numbering.
- Extract any hard-coded elements and parameterise them so that the model execution can be controlled through input parameters.
- Ensure the model input parameters are version-controlled and logged to the model execution runs for auditability.
- Ensure model metrics are logged to the model runs.
- Ensure model logging, monitoring, and alerting to make sure any failure points are captured, monitored and alerted for support team to investigate or re-run of the model involves running of multiple experiments and choosing the best model (champion challenger) based on the accuracy/error rate of each experiment, ensure this is done in an automated manner. li>Ensure the model is triggered to run as per the defined schedule. If the process involves executing multiple models feeding each other to produce the final business outcome, orchestrate them to run based on the defined dependencies.
- Define and Maintain the ML Frameworks (Python, R & MATLAB templates) with any common reusable code that might emerge as part of model developments/operationalisation for future
- models to benefit.
- Where applicable, capture data drift, concept drift, model performance degradation signals and ensure model retrain.
- Implement CI/CD pipelines for ML models and automate the deployment.
- Maintain relevant documentation.
Requirements:
- Bachelor's degree in a relevant field.
- Minimum of 5 years of experience as a business analyst, with a focus on capturing and documenting business requirements and business processes.
- Strong understanding of banking and financial industry practices and regulations.
- Solid knowledge of Data Management process, data analysis and modelling techniques.
- Experience in monetary policy analysis (nice to have)
- Experience in time series database analysis
- Familiarity with business intelligence tools and concepts.
- Strong analytical and problem-solving skills.
- Experience in managing software development lifecycles within Agile frameworks to ensure timely and high-quality delivery.
- Excellent communication and collaboration skills.
- Ability to adapt to changing requirements and priorities in a fast-paced environment.
Machine Learning Engineer
Posted 18 days ago
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Spearheading the integration of machine learning into cutting-edge electronics
This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge.
You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What’s special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next.
Requirements:
- Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch li>Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly
- A top degree in a STEM subject
- UK national
While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc).
Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals’ expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position.
Another top job from ECM, the high-tech recruitment experts.
Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV.
Please apply (quoting ref: CV27413 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
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Machine Learning Scientist
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We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint, you'll be part of a global team that breaks barriers to redefine cybersecurity, guided by our BRAVE core values: Bold in how we dream and innovate, Responsive to feedback, challenges, and opportunities, Accountable for results and best-in-class outcomes, Visionary in future-focused problem-solving, Exceptional in execution and impact.
Corporate Overview
Proofpoint is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity.
Protection Starts with People. Proofpoint.
**The Role**
Proofpoint is looking for a Machine Learning Scientist to join the Algo team within the Tessian Business Unit. In this role, your key responsibility will be to analyse data, build ML models and improve algorithms at the core of our email threat detection engine that protects some of the largest businesses in the world. You will collaborate with Product and Engineering teams to identify and solve the most impactful problems applying state-of-the-art machine learning tools and techniques. You'll be surrounded by incredibly smart, talented and friendly colleagues. Engineers at Tessian love to learn from each other and pull together as a team to succeed.
*This is a Hybrid role; Cork or Belfast.
**Your day-to-day**
-Wrangle and draw meaningful insights from massive amounts of unstructured textual data using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker
-Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns
-Work with state-of-the-art machine learning models and techniques like encoder-decoder transformers, LLMs, anomaly detection as well as classical ML models to solve a multifaceted problem
-Engineer new features, train and deploy models to production using AWS SageMaker as the MLOps platform
-Adopt a data-driven approach to identify gaps in our detection algorithms and propose improvements to our models and algorithms
-Promote and drive ML best practices and cultivate an environment of experimentation and learning
-Stay up to date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable
**What you bring to the team**
Essential
- Proficiency in Python with the ability to write clean, well-structured, and maintainable code for data analysis, modeling and experimentation
- Experience contributing to multiple highly impactful machine learning projects with proven results
-Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus)
-Experience monitoring and maintaining performance of models over time in production considering model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX)
-A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team
Good to have
-Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus
-Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data
Why Proofpoint
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and a driven-to-win organization with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply.
We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint
#LI-Hybrid
Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:
- Competitive compensation
- Comprehensive benefits
- Learning & Development: We are committed to the growth and development of our team members, offering a range of programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities to help employees reach their full potential.
- Flexible work environment: (Remote options, hybrid schedules, flexible hours, etc.).
- Annual wellness and community outreach days
- Always on recognition for your contributions
- Global collaboration and networking opportunities
Our Culture:
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to . How to Apply Interested? Submit your application here . We can't wait to hear from you!
Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
Our BRAVE Values:
At Proofpoint, we are BRAVE in everything we do, and our values aren't just words-they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.
We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you-who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones-to help you find your people, build your community, and thrive together.
This isn't just a job-it's a mission to protect people and defend data in a world that never slows down. We're building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable-because that's what it takes to stay ahead. And we do it together, winning as one.
Be empowered to reach your full potential through meaningful challenges and personalized support-designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Machine Learning Engineer
Posted 1 day ago
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At Permutable AI, were building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for financial analysts. As a small, ambitious start-up, youll work directly with our founder and a core team of talented.
WHJS1_UKTJ
Machine Learning Engineer
Posted 1 day ago
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Machine Learning Engineer Remote (UK Only | No Visa Sponsorship)
Work on AI Products for US Tech Companies
Talent Hero helps UK-based professionals land remote roles with innovative US businesses. We're hiring Machine Learning Engineers to build and deploy production-grade ML systems that solve real-world problems at scale.
If you're experienced with model design, training, and deployment and want .
WHJS1_UKTJ