82 Image Analysis jobs in London

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence?

We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data scientists, and part working remotely — giving you the best of both worlds.

You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production.

In this role, you’ll help train, test, and optimise models that can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients.

What’s in it for you?

AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights.

Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production.

Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical and career development.

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 ( .
We're looking for Machine Learning Engineers to join the Generative ML Platform team at Snap Inc!
What you'll do:
+ Develop ML-tools and ML-products that serve millions of Snapchatters on a daily basis
+ Build cutting-edge augmented reality experiences with diffusion/flow matching models and GANs
+ Deliver GenAI experiences for the edge devices
+ Work on state of the art GenAI pipelines for image and video generation
+ Work closely with other Snap teams to introduce, prototype and launch new products
Knowledge, Skills & Abilities:
+ A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
+ Knowledge of mathematics and deep learning foundations
+ Ability to effectively collaborate with internal teams and external partners
+ Ability to work independently
Minimum Qualifications:
+ Bachelor's Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience
+ Engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning
+ Experience with the major deep learning frameworks: PyTorch or TensorFlow
+ Strong programming skills in Python or C+Preferred Qualifications:
+ Experience developing real-time software for mobile applications
+ Knowledge of computer graphics foundations
+ Track record of successful projects in GenAI field
+ Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.
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
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A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role in designing, implementing, and advancing cutting-edge methods in: Reinforcement Learning (RL) Large Language Models (LLMs) Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field A track record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential) Deep expertise in at least one of: RL, LLMs, or large-scale Optimisation for deep learning Good programming skills in Python and experience with deep learning frameworks A passion for advancing AI research and contributing to the global ML community Key selling points Work on cutting-edge AI challenges with a talented, multidisciplinary team Collaborate with leading academic and industry partners Access to high-performance computing resources Publish your work at the leading conferences VISA sponsorship available If you’re driven by curiosity, thrive in a research-focused environment, and want to contribute to the next wave of AI innovation, then please apply today

A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role in designing, implementing, and advancing cutting-edge methods in: Reinforcement Learning (RL) Large Language Models (LLMs) Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field A track record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential) Deep expertise in at least one of: RL, LLMs, or large-scale Optimisation for deep learning Good programming skills in Python and experience with deep learning frameworks A passion for advancing AI research and contributing to the global ML community Key selling points Work on cutting-edge AI challenges with a talented, multidisciplinary team Collaborate with leading academic and industry partners Access to high-performance computing resources Publish your work at the leading conferences VISA sponsorship available If you’re driven by curiosity, thrive in a research-focused environment, and want to contribute to the next wave of AI innovation, then please apply today

Machine Learning Engineern£6000 - 9000 GBPnOnsite WORKINGnLocation:

Central London, Greater London - United Kingdom

Type:

Permanent

Machine Learning Engineer - Defence & National Security

Locations: Poole | Hereford | Remote (UK-wide with travel)

£0,000 - 0,000 + benefits

Our client is a specialist AI consultancy delivering safe, impactful, and human-centric AI solutions to government, defence, and national security organisations. With over a decade of experience and a track record of supporting hundreds of global customers, they are at the forefront of applied AI - taking cutting-edge research into real-world deployment at scale.

They are now hiring a

Machine Learning Engineer

to join their Defence & National Security team. This role offers the opportunity to design, build, and operationalise production-grade AI systems that directly impact high-stakes projects in the UK.

What you'll be doing

Designing, building, and deploying software, infrastructure, and MLOps systems that leverage machine learning.nWorking in cross-functional teams with engineers, data scientists, product managers, and designers.nDeveloping scalable, reusable tools that accelerate ML delivery.nProviding technical expertise to customers and mentoring junior engineers.nContributing to the scope, design, and technical delivery of complex projects.nEmbedding best practices for AI systems in production, balancing technical, ethical, and operational requirements.nWhat we're looking for

Active SC clearance(minimum 5 years UK residency required).nStrong software engineering skills, with proficiency in Python.nExperience across the ML lifecycle, including deploying models built in PyTorch, TensorFlow, or Scikit-learn.nHands-on cloud experience with AWS, Azure, or GCP.nKnowledge of Docker and Kubernetes, with practical containerisation experience.nUnderstanding of probability, statistics, and ML techniques.nStrong communication skills, able to engage with technical and non-technical stakeholders.nExperience mentoring or leading junior engineers is an advantage.nTravel & Location

Open to applicants from anywhere in the UK.nTravel to Poole or Hereford up to 2/3 days per weeknMajority of work can be done remotely.nWhy join

Salary range:

0,000 - 0,000

depending on experience.nWork on AI projects with direct impact in defence and national security.nJoin a high-calibre team working at the cutting edge of applied AI.nHybrid working with flexibility across the UK.nOpportunity to shape how machine learning is operationalised at scale.nThis role is ideal for an engineer who wants to take machine learning beyond theory and into live operational systems that solve critical national challenges. If you have the technical depth, the clearance, and the drive to deliver meaningful outcomes, this is a chance to do work that truly matters while developing your career alongside some of the brightest minds in applied AI.

Reference:

ODI/FAI/ML

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