AI/ML Engineer Jobs in London

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AI/ML Engineer Jobs in London

Overview

Looking for top AI/ML Engineer jobs in London? Discover the latest opportunities in artificial intelligence and machine learning with Haystack. Whether you’re an experienced AI engineer or a rising ML talent, find your perfect role in London’s thriving tech scene today. Apply now and take the next step in your AI career!

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Senior C++ Software Engineer Linux

Senior C++ Software Engineer / Developer (Linux SQL C+) London / WFH to £110k

Global-leading FinTech is seeking a Senior C++ Software Engineer to take ownership of strategic enhancements on their core platform, as well as directly on bespoke client projects.

The organisation is a pioneer in the field of cross-asset securities and derivatives post-trade processing technology, and have created ground-breaking, adaptable software that produces secure and scalable solutions for peak operational efficiency and optimum business performance for their clients.

This is an exciting opportunity to accelerate your career alongside established business and technology leaders, and gain / deepen your finance experience. As a C++ Software Engineer, you’ll be responsible for designing and building unique technical solutions, meeting user requirements and contributing to the evolution of the cutting-edge platform.

Not only can you take advantage of working in a modern, technology-driven environment, but you will be granted a great deal of autonomy across the full development lifecycle, influencing key technical decisions and working with a highly collaborative, experienced team.

Location / WFH:

You’ll join colleagues in the London office three days a week with flexibility to work from home the other two days.

About you:

You have strong C++ development experience on Linux or UNIX, C+ and above

You have good SQL skills

You’re a passionate technologist who is motivated by working on cutting-edge systems and engineering complex solutions

You’re a positive, proactive team member who excels when working collaboratively

You have a strong knowledge of software engineering best practices

You’re degree educated, having achieved a 2.1 or above in a STEM discipline

Ideally you will have experience working in a financial services or trading environment although technical skills of far greater importance

What’s in it for you:

As a Senior C++ Software Engineer / Developer you will receive a competitive package:

Salary to £110k

Pension (to 9% contribution)

Healthcare

Volunteer / charity days

Hybrid working

Career development and training

Apply now to find out more about this Senior C++ Software Engineer / Developer (Linux SQL C+) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

AI Technical Architect - Customer Experience

Location - London, Bristol or Manchester (1 day a week onsite)

Duration - 6 months

Rate - £650 - £700 daily (inside IR35)

As a Technical Architect you will:

Design and architect end-to-end AI solutions that align with government digital strategies and the Technology Code of Practice, combining off-the-shelf components with bespoke code

Collaborate with senior technical stakeholders to define AI strategy and roadmaps for digital transformation initiatives

Ensure AI solutions integrate effectively with existing government technology infrastructure and legacy systems

Design scalable, cloud-first AI architectures following government security and data protection standards

Lead the selection and technical design of appropriate AI technologies, platforms, and tools

Develop documentation and processes for AI accountability and explainability

Present technical concepts and recommendations to non-technical senior leaders

Engage with external partners, industry experts, and academic institutions to produce architectural solutions fit for programme purpose.

Define and oversee prototyping and exploratory development at speed to explore and mitigate technical risks.

Develop an ethos of rapid, collaborative change within the team.

We’re looking for people with a passion for public service and the skills to make a difference. You will have:

Minimum of 10 years in technical architecture on the enterprise level.

Experience working in interdisciplinary teams to design and deliver solutions.

Extensive experience in AI/ML architecture and system design (minimum 2 years) with proven expertise in hands-on coding AI solutions.

Deep knowledge of machine learning frameworks, cloud platforms (AWS, Azure, GCP), and MLOps(machine learning operations) practices.

Deep knowledge about design and implementation of secure integrations between AI solutions and legacy enterprise software, whilst ensuring compliance with government-level security requirements, implementing single sign-on (SSO) authentication protocols, and maintaining appropriate access controls for OFFICIAL and OFFICIAL-SENSITIVE information handling.

Deep knowledge about costing of AI models to produce reasonable ROI and modular reusable services with moderate level of maintenance.

Understanding of data architecture, API design, and microservices patterns

Knowledge of government technology standards and security frameworks

Working knowledge about appropriate Data Ethics Frameworks for AI initiatives, ensuring responsible and transparent AI deployment

Understanding of the modern and current AI systems and their lifecycle.

Experience working in regulated environments with strict security and compliance requirements

Experience of working at pace, on cutting-edge technology and not afraid to take on calculated technical risks to deliver faster.

Experience of Agile, Incubator or other Rapid development techniques.

Commitment to public service values and citizen-centred design

Please submit a copy of your CV for more information on this vacancy.

Data Engineer Health Tech London - Dagster, dbt, BigQuery, LLMs

Data Engineer Health Tech London - Dagster, dbt, BigQuery, LLMs

They’re using AI to automatically extract, categorise, and reconcile data from these scattered sources, turning chaos into actionable insights in the healthcare sector.

What You’ll Be Doing

Working directly with the CTO, you’ll own large parts of the data infrastructure:

Building scalable data ingestion and processing systems for complex integrations.

Taking problems from concept to production-making smart decisions.

Designing ELT pipelines, working with unstructured data, and transforming raw data into customer-facing analytics

Some data transformation and analysis work (no dedicated analyst yet)

Contributing to product thinking and commercial goals-engineers here aren’t siloed

What They Need

2-3+ years building production-grade data systems in fast-paced environments

Solid experience with modern data stack (ELT pipelines, data warehouses, semantic layers, LLM integration)

Strong SQL and comfortable with dbt for data transformation

Product-minded-you care about outcomes, ask “why”, and understand user context

Self-directed with a bias for execution-you can scope work, sense-check approaches, and ship without hand-holding

Balance speed with quality-know when to be scrappy, when to go deep

The Stack

Data: Dagster, Airbyte (custom connectors), dbt, BigQuery, Cube, Metabase, PostgreSQL/Supabase AI: LLMs via Google Vertex & Azure AI Foundry for document extraction Rest of stack: TypeScript, Next.js, Node.js

Bonus Points

Fintech or payments experience

Healthcare domain knowledge

Why This One’s Different

Early-stage impact-shape the tech, product, and company direction

Team of repeat founders who move fast and promote based on impact, not tenure

Proper on-site setup in a private office in Paddington (Merchant Square)-they believe in in-person collaboration early on

Applying fintech innovation to genuinely high-impact problems

Expectations are high, but so is the growth opportunity

Salary: £55,000 - £75,000

If you want to building something that actually matters-and want proper ownership in an early-stage environment-this is worth a look.

Cloud Software Engineer - GSK0JP

AI/ML Cloud Software Engineer

Kings Cross, London, or Stevenage (2-3 days on site)

888 per day via umbrella Inside IR35

6-9 Months (may extend but TBC)

Our pharmaceutical client see a world in which advanced applications of Machine Learning and AI will allow them to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. We’re looking for a highly skilled software engineer to help us make this vision a reality.

Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software - preferably in the AI/ML industry. Candidates should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational or professional background in the biological sciences is a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory.

The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we’re motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.

Key responsibilities

Software and infrastructure development for a Python web application

Integration of AI/ML components with frontend, backend, data and compute infrastructure

Responsible for high quality software implementations according to best practices, including automated test suites and documentation

Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them

Participate in code reviews, continuously improving personal standards as well as the wider team and product

Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products

Basic qualifications:

Cloud experience (e.g. Google Cloud and cloud run essential) including core web application infrastructure is essential

CSED backend

Demonstrated experience of Python backend development (e.g. using FastAPI)

React frontend experience ideally

Strong skills in Python

Unit testing experience (e.g. pytest)

IaaS knowledge (e.g. Terraform) including best practices for module development

Knowledge of agile practices and able to perform in agile software development environments

Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often

Hosting: GCP (GKE and Cloud Run) essential

Deployment: Terraform and GitHub Actions - essential

Agile Methodology

Preferred qualifications:

Experience with Docker or containerized applications, especially architecture of multi-container applications

Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience

Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP

Experience with Kubernetes and Google Kubernetes Engine would be an advantage

Full Stack Software Engineer - AI/ML

Full Stack Software Engineer - AI/ML

The location of the role is London (hybrid working).

The duration of the contract is 6 months.

The pay rate on offer is 750 - 880 per day (via Umbrella - inside IR35).

Key skills: Python, generative AI, language models/NLP, AI ML, front end development

Summary

Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic.

Key responsibilities

Define and implement key safety metrics for generative AI (and in particular language) applications.

Perform user research to understand the application’s risks and failure modes.

Integration of AI/ML components with frontend, backend, data and compute infrastructure

Responsible for high quality software implementations according to best practices and expected to participate in code reviews.

Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products

Deliver ML- and data-driven insights on GenAI datasets.

Basic qualifications:

A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist.

Prior experience carrying out user research for software development

Knowledge of generative AI and large language models

Strong skills in Python, including development and testing

Knowledge of agile practices and able to perform in agile software development environments

Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub)

Preferred qualifications:

Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen)

Prior experience conducting user research for AI applications

Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness evaluations

Web-based front end development experience

Databricks Data Architect - London

Tenth Revolution Group

Join a dynamic team committed to data excellence and innovation. We are seeking a talented Data Architect to join our client’s Azure - Data team in London. Key Responsibilities: - Design and implement data architecture using Azure and Databricks Lakehouse.- Collaborate with cross-functional teams to drive data strategy and governance.- Ensure data integrity and security within cloud environments.- Contribute to the development of data models and pipelines for analysis and reporting. Required Skills: - Strong experience with Azure cloud services and infrastructure.- Proficiency in Databricks Lakehouse architecture.- Knowledge of data management practices and big data technologies.- Excellent problem-solving and analytical skills.This role is perfect for candidates looking to make a significant impact within a supportive and innovative team. If you are passionate about leveraging data to drive business results, we encourage you to apply for this opportunity.

Senior Data Scientist

70,000- 90,000 + Stock Options

London (Hybrid)

Are you an optimisation expert ready to make a real-world impact? This is your chance to join my client, a well-funded, fast-growing start up that is reshaping how supply chains operate across logistics, retail, and hospitality.

In this role, you’ll take ownership of building and deploying advanced optimisation models that drive immediate business outcomes. You’ll work closely with a small, talented data science team where your expertise won’t get lost in layers of hierarchy; instead, every model you design will directly influence client operations and company growth.

The company has already secured major enterprise clients and boasts strong investor backing, giving you the rare mix of start up agility with financial stability. With a modern platform already in place, you’ll have the freedom to push boundaries, experiment with cutting-edge optimisation, and explore opportunities to integrate machine learning and natural language interaction into next-generation solutions.

Why this role stands out:

Work on cutting-edge optimisation problems with direct impact on global supply chains.

Join a well-funded startup with strong investor backing and a secure financial runway.

Be part of a small, talented data science team where your contributions are highly visible.

Opportunity to shape the product and roadmap, not just deliver incremental improvements.

Freedom to explore machine learning and NLP alongside optimisation.

Hybrid setup: 1-2 days a week in central London, with flexibility around the rest.

Package: 70,000- 90,000 base salary, share options, and private healthcare.

What you’ll be doing:

Designing and deploying advanced optimisation models that solve complex, high-value problems.

Taking solutions from research into production-ready Python code.

Collaborating closely with the Head of Data Science and founders on product direction.

Partnering with enterprise clients to deliver measurable operational improvements.

What we’re looking for:

Deep expertise in optimisation/operations research (linear, integer, or mixed-integer programming).

Strong Python engineering skills, with experience in model deployment.

Familiarity with supply chain, logistics, retail, pharma, or warehousing highly desirable.

Experience in well-regarded teams or companies with strong development practices.

Someone who can add value immediately - this is a senior, hands-on role.

If you’re ready to take on a high-impact role where your work shapes both the product and the company’s future, we’d love to hear from you.

If you feel this role is of interest to you and aligns with your skillset, please apply here or send an up-to date CV to (url removed). Or, alternatively, give me a call on (phone number removed) (ext. 7730)

Partnered with a global Legal Services orgnisation who are searching for Permanent Lead Data Scientist to play a key role within the Product Function leading the development of enterprise grade Data solutions and advanced analytics capabilities.

Scope of role:

Play a key role to developing firms AI strategy and roadmap.

Develop and implement Data Science and analytics use cases aligning Business priorities.

Design and deploy predictive models and AI/ML prototypes

Buils robustand interpretable models for forcasting, clustering and optimisation.

Act as the Lead on solution design and prototyping of advanced analytics solutions.

Enable good governance principles across analytics delivery.

Experience required:

Experienced in delivering end to end Analytics Solutions.

Strong Python, SQL, PowerBI.

Legal or regulatory background preferred.

Stakeholder experience, comfortable dealing with various Senior level stakeholders.

Experience leading teams or technical projects.

If this opportunity aligns with your background and career aspirations please share your details to (url removed) , your latest CV and availability for a call.

Power Platform Analyst RPA Automation South London

Power Platform Analyst (RPA Intelligent Automation Blue Prism Power Platform Analyst Developer Engineer Financial Services Finance SQL Agile AI Automation Microsoft Power Platform) required by our financial client in South London.

You MUST have the following:

Experience as a Process/Intelligent Automation Analyst

Power Platform

Excellent ability to gather requirements, document roadmaps, UAT

Excellent ability to work with stakeholders from the business and technology

Agile

The following is DESIRABLE, not essential:

SQL

Role: Power Platform Analyst (RPA Intelligent Automation Blue Prism Power Platform Analyst Developer Engineer Financial Services Finance SQL Agile AI Automation Microsoft Power Platform) required by our financial client in South London. You will come into a greenfield environment with no process automation at all. You will be given carte blanche to speak to the business, understand their processes across all departments - about 250 users in total - and bring in process automation/intelligent automation to accelerate efficiency within the business. You will have a good, proven track record and will be comfortable operating as the only person in this role. You will collaborate with the new head of IT who has experienced process automation in other companies.

This will begin as a 6-month contract but there is probably enough work for 12 months.

It will be a hybrid working setup. 3 days/week will be required to begin with. After this, there will be more flexibility.

Salary: £35k - £50k + Benefits

Front Office Quantitative Developer

12 month contract - Inside IR35 - Investment Banking

The Global Markets Quantitative Research division is in charge of the modelling, pricing & risk management developments for the entire offering of products within the Global Markets activity.The team operates globally with representatives in London, Paris, Asia, and New York and plays a critical role in providing innovative solutions.Inside GMQR, Histo team works on a wide range of applications, from booking systems, real time price computation to market data storage and high performance transfer, and a wide range of tasks from algorithm design and refinement, user experience to hardware selection and network performance analysis.One of our missions is also to provide quant support services for the Delta One trading desks, that’s why we are currently looking for an IT Quant consultant.The ideal candidate will possess strong technical skills, problem-solving abilities, and effective teamwork.Key responsibilities:- Strengthen and enhance reliability of solutions dedicated to ETF market making activity- Build scalable systems for large-scale data analysis and experimentation- Evaluate and implement third-party tools and data sources- Ensure that Risks and P&L are properly assessed and computed- Contribute to research discussions and improve methodologies

Key Skills:

-Mathematics/computer science background

-SQL, Linux, Python

-Quantitative background

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

Quantitative Developer

Quantitative Developer (Python)

Leading commodities trading company is looking for a very experienced Quant Developer to work collaboratively with traders, quants and other C# developers and Python developers to help develop systematic trading strategies and be responsible for sorting out highly complex data.

Exciting opportunity for a Python Quant Developer who has worked as a Quantitative Developer previously to build on existing experience gained in a Front Office Trading environment who has strong technical acumen, and a passion for market data.

£1,000-1,250 a day

The Quant Developer will be responsible for setting up and maintaining the research data platform for systematic trading strategies.

Very long term contract potential with multiple extensions for a suitable Quant Python Developer with the following skills:

Strong Python

Front Office Trading

High level of mathematical ability

Knowledge of Machine Learning algorithms would be useful

Commercial acumen

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

KDB Developer - London

Atrium Workforce Solutions Ltd

Atrium EMEA is looking for an accomplished KDB Developer Specialist to support the FX Team in London. You will work with the eFX strat/engineering teams to build out the analytics framework in KDB+/q and enhance the overall resiliency of our KDB+ estate. Build out reporting dashboards for key stakeholders based on data within KDB.

Essential:

KDB Developer - KDB+/q

Developing and maintaining systems built in KDB+.

Provide the data infrastructure to work on pricing models, trading algorithms, and analytics tools.

Build out analytics framework - Creating tools in KDB+ to capture, store, and analyse FX trading data so traders and quants can make faster, more informed decisions.

Enhance overall resiliency - Making the KDB+ systems more reliable and robust, minimising downtime, and ensuring they can cope with heavy trading volumes.

Reporting dashboards - Designing clear, real-time dashboards for senior stakeholders, showing trading performance, system health, and potential risks.

Used to working in front office, using Strats and quants and be able to work well with traders

Python and or Java

Financial services experience helpful

Click Apply now to be considered for the KDB Developer - London role

Head of Data Science

Morgan Hunt Recruitment

**Head of Data ScienceUK Regulatory BodyLondon - Hybrid (2 days per week in the office)****£70,000-£77,000 (depending on experience)**The RoleWe are seeking an experienced and forward-thinking leader in data science and analysis to head up a growing specialist team within a respected UK regulatory body. This is a pivotal role at the interface of data, regulation, and risk. You will be responsible for guiding a team of highly capable early-career data scientists and analysts, ensuring their work delivers real impact in regulatory decision-making and wider risk assessment.The role requires a leader who can balance academic rigour with practical application, setting the standard for what is possible with data science in a regulatory environment, while also being clear about its limitations. You will help formalise the organisation’s approach to data science and analysis, shape its technical infrastructure, and ensure outputs are robust, defensible, and strategically aligned.As the organisation invests further in its Risk and Data Programme, you will lead efforts to embed advanced data-driven methods across risk assessment, research, and enforcement functions. This will include developing approaches to analysing subtle behavioural patterns, highlighting diversity and outcomes across the sector, and detecting threats such as anti-money laundering.This is an opportunity to shape how data science supports front-line regulation, moving beyond research and experimentation into mainstream decision-making.Key Responsibilities

Leadership & Strategy

Lead, develop, and inspire a growing team of 7-8 data scientists and analysts, combining academic expertise with applied regulatory impact.

Manage and prioritise a busy pipeline of analytical work, ensuring strategic alignment and clarity about what can, and cannot, be derived from analysis.

Partner with the Director on establishing clear backlogs, pipelines, and strategies for the team, working across risk assessment, data science, and research functions.

Champion a culture of curiosity, experimentation, and continuous improvement.

Technical Excellence & Delivery

Oversee the use of advanced statistical modelling, AI, and machine learning methods (including NLP and LLMs) to deliver high-quality insights.

Ensure outputs are defensible, high-quality, and accessible to both technical and non-technical audiences.

Drive the transition from R&D into operationalised, always-running models that directly support regulatory interventions.

Regulatory Impact

Apply data science to real-world regulatory challenges: analysing practices, identifying behaviours that correlate with poor outcomes, and detecting risks.

Support advisory and enforcement teams with robust evidence and insight.

Enhance the organisation’s ability to detect threats, assess risk, and identify trends in the sector.

Contribute to cross-organisational insight functions, maximising the impact of data and research.

Stakeholder Engagement

Build strong internal and external relationships, representing the organisation’s data science work at a senior level.

Produce clear, persuasive reports and recommendations for governance groups and stakeholders.

Act as a thought leader for data-driven regulation, setting high standards and sharing best practice across the sector.

Essential Skills & Experience

Strong academic credentials (degree or equivalent experience) in statistics, data science, quantitative social science, physics, or other relevant discipline.

Proven experience managing a pipeline of analytical work and aligning outputs with organisational priorities.

Expertise in AI/ML techniques, including predictive modelling, NLP, and large language models.

Proficiency in Python, R, and relevant libraries for data analysis and modelling.

Demonstrated ability to balance rigour with practical application, clearly articulating both insights and limitations of data science.

Experience leading high-performing technical teams, ideally in regulatory, risk, or research environments.

Strong communication skills, with the ability to explain complex findings to non-technical audiences.

Desirable

Experience of project or programme management.

Knowledge of regulatory or legal services sectors.

Practical knowledge of SQL, VBA, or similar tools.

Benefits

Salary: £70,000-£77,000 (based on experience)

Permanent contract with hybrid working (2 days per week in the London office)

25 days holiday (rising to 27 after 2 years and 30 after 5 years)

Pension contribution up to 12.25% from the organisation (total of up to 19.25% including employee contribution)

Life Assurance

Season Ticket Loan

Plus a range of additional benefits

If you are interested, please feel free to apply

Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual’s skills, qualifications and abilities to perform the relevant duties required in a particular role.

Senior Data Scientist

NonStop Consulting Ltd

£70,000-£90,000 + Stock Options

London (Hybrid)

Why this role stands out:

Work on cutting-edge optimisation problems with direct impact on global supply chains.

Join a well-funded startup with strong investor backing and a secure financial runway.

Be part of a small, talented data science team where your contributions are highly visible.

Opportunity to shape the product and roadmap, not just deliver incremental improvements.

Freedom to explore machine learning and NLP alongside optimisation.

Hybrid setup: 1-2 days a week in central London, with flexibility around the rest.

Package: £70,000-£90,000 base salary, share options, and private healthcare.

What you’ll be doing:

Designing and deploying advanced optimisation models that solve complex, high-value problems.

Taking solutions from research into production-ready Python code.

Collaborating closely with the Head of Data Science and founders on product direction.

Partnering with enterprise clients to deliver measurable operational improvements.

What we’re looking for:

Deep expertise in optimisation/operations research (linear, integer, or mixed-integer programming).

Strong Python engineering skills, with experience in model deployment.

Familiarity with supply chain, logistics, retail, pharma, or warehousing highly desirable.

Experience in well-regarded teams or companies with strong development practices.

Someone who can add value immediately - this is a senior, hands-on role.

If you’re ready to take on a high-impact role where your work shapes both the product and the company’s future, we’d love to hear from you.

If you feel this role is of interest to you and aligns with your skillset, please apply here or send an up-to date CV to . Or, alternatively, give me a call on (ext. 7730)

Azure Data Engineer

Tenth Revolution Group

A small and highly successful organisation in the sustainability space are seeking a Data Engineer with some Power Platform experience to join their team. They have an office space in London, though this role is remote and is therefore open to candidates across the UK.

They are on a mission to help businesses to reduce their carbon emissions, through the use of their intelligent sustainability platform - and your role will focus on the ongoing development and expansion of this, spanning both front-end and back-end development!

The platform is powered by Microsoft’s Cloud ecosystem - including Azure, Power Apps, Power Pages and Power BI, and allows for real-time engagement and AI-guided action plans for carbon reduction.

Responsibilities include:

Use Azure Data Factory to ingest, transform, and expose data across the platform

Help centralise data into a Data Lake, ensuring it’s clean, structured, and accessible

Build data pipelines for LLMs and integrate tools like GPT to drive intelligent outputs

Develop user-facing applications using Power Apps and Power Pages

Design and manage APIs to connect front-end applications and integrate external services (e.g. procurement systems, AI tools)

Collaborate directly with users to turn complex needs into streamlined solutions

It’s a broad role with lots to get involved in!

We’re not expecting you to have experience with everything mentioned above - the core skills are Azure Data Factory, and having a self-starter mentality with an enthusiasm to learn new things!

Benefits include:

Salary up to 70,000 depending on experience

25 days annual leave plus bank holidays, plus your birthday off

Pension with 3% employer and 5% employee contributions

Generous maternity and paternity policy

Allocated training budget for everyone

Regular company get-togethers with expenses paid

If you’re excited by the prospect of working for a mission-driven organisation who are already making a big impact, apply today!

Please Note: This is a role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Data and AI roles in the UK, offering more opportunities across the country than any other. We’re the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)

KDB+/q Developer

Huxley Banking & Financial Services

An Investment Banking client is currently seeking a KDB+/q Developer to join their Front Office.

The initial contracts will be for 12 months rolling paying up to £1200pd via an Umbrella company. The Bank is Based in the City of London and has a Hybrid working policy.

Required experience:

Extensive KDB+/q development experience

Experience working in Front Office environments working on Real Time Trading Systems

Please share an updated CV ASAP if you’d like to be considered for the position and I’ll be in touch if suitable.

Please visit our website to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement.

To find out more about Huxley, please visit our website

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales

Senior Data Scientist

Senior Data Scientist (Optimisation)

Hybrid (2/3 office split) London

£80k-£90k + Share options + Additional benefits

The business

This is a fast-growing AI technology company of around 15 people, building cutting-edge predictive and optimisation solutions for real-world operational challenges.

The data team you’ll be joining is at the centre of their platform which powers smarter workforce planning, scheduling and supply chain decisions for the clients they support.

The role

They’re looking for a Senior Data Scientist with a passion for optimisation and operations research to help take the platform to the next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems.

Key responsibilities

Design and improve optimisation algorithms for staff scheduling and warehouse workforce planning

Develop mathematical models and optimisers (beyond standard ML approaches)

Evolve the existing optimiser into a scalable, production-ready system

Write production-quality Python code and collaborate closely with engineers and other data scientists

What they’re looking for

Strong Python skills (critical)

Hands-on experience with optimisation/operations research / mathematical modelling

Background in supply chain or workforce planning (desirable)

Ability to build and ship production-level components, not just analytical prototypes

If this sounds like you and you would like to know more details, please apply now.

Technical Architect (A.I)

We are currently seeking a Technical Architect (A.I) to work with our public sector client

6 months contract

700 inside IR35

Location: London Bristol or Manchester / Hybrid / Flexible on remote working

The ideal candidates will have a proven Artificial Intelligence Technical Architecture background within public sector/Government

Design and architect end-to-end AI solutions that align with government digital strategies and the Technology Code of Practice, combining off-the-shelf components with bespoke code

Collaborate with senior technical stakeholders to define AI strategy and roadmaps for digital transformation initiatives

Ensure AI solutions integrate effectively with existing government technology infrastructure and legacy systems

Design scalable, cloud-first AI architectures following government security and data protection standards

Lead the selection and technical design of appropriate AI technologies, platforms, and tools

Develop documentation and processes for AI accountability and explainability

Present technical concepts and recommendations to non-technical senior leaders

Engage with external partners, industry experts, and academic institutions to produce architectural solutions fit for programme purpose

Define and oversee prototyping and exploratory development at speed to explore and mitigate technical risks.

Extensive experience in AI/ML architecture and system design (minimum 2 years) with proven expertise in hands-on coding AI solutions

Deep knowledge of machine learning frameworks, cloud platforms (AWS, Azure, GCP), and MLOps(machine learning operations) practices.

Deep knowledge about costing of AI models to produce reasonable ROI and modular reusable services with moderate level of maintenance

Understanding of data architecture, API design, and microservices patterns

Knowledge of government technology standards and security frameworks

Working knowledge about appropriate Data Ethics Frameworks for AI initiatives, ensuring responsible and transparent AI deployment

REMOTE Senior Software Engineer - FinTech Scale up

Fully Remote Up to £120k Base + Bonus + Stock Options

We’re partnered with a high-growth FinTech scale-up at the forefront of building next-generation market surveillance and risk monitoring technology. Backed by leading investors and trusted by global financial institutions, regulators, and crypto-native firms, they process trillions of market events daily to protect investors, detect manipulation, and ensure integrity across both traditional finance and digital asset markets.

As a Senior Software Engineer, you’ll play a key role in designing and scaling advanced systems and algorithms that safeguard some of the most dynamic and complex markets in the world. This is a chance to build high-performance, low-latency, and cloud-native systems while tackling challenges in fraud detection, data engineering, and market integrity.

What you’ll do

Design, implement, and optimise algorithms for detecting manipulation, fraud, and compliance breaches in real-time and batch data.

Build and scale high-volume data pipelines handling billions of daily events across distributed systems.

Work with cutting-edge tech including Java, Kafka, Spark, Kubernetes, Clickhouse, Snowflake, Redis.

Collaborate with quants, data scientists, and compliance experts to improve surveillance strategies.

Contribute to system architecture for low-latency monitoring and high-throughput processing.

Continuously improve data quality, reliability, and query optimisation at scale.

? What we’re looking for

5+ years’ experience in software engineering, ideally in financial markets, market surveillance, or large-scale data systems.

Strong skills in Java (or similar: Kotlin, C#, C++); Python is a plus.

Proven experience with real-time, low-latency systems and distributed data pipelines.

Hands-on with Kafka, Spark, K8s, Clickhouse, Snowflake, and modern data architectures.

Solid foundations in algorithms, system design, and optimisation.

Curious, proactive, and comfortable working in a fast-moving, scaling environment.

Why apply?

Fully remote role with global reach.

Up to £120k base + bonus + stock options.

Build mission-critical systems at the intersection of finance, crypto, and AI/ML-driven surveillance.

Work alongside world-class engineers, quants, and technologists shaping the future of market integrity.

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

AI Trainer

Morgan Hunt Recruitment

Morgan Hunt are working with a large public sector client to recruit an AI Trainer on a contract basis. The main focus of the role is to provide hands-on training for their AI and data programme. This role focuses on leading the design, delivery, and ongoing management of AI upskillingupskilling programmes. The successful candidate will provide practical, policy-aligned training to staff at all levels.Key responsibilities:

Delivering mandatory AI and data training

Creating practical Copilot scenarios in Microsoft 365 apps (Teams, Outlook, Word, PowerPoint, Excel)

Embedding responsible AI behaviours such as human oversight, accuracy checks, bias awareness, and lawful use

The role requires:

Proven experience designing and delivering AI training at scale, with measurable adoption and compliance outcomes in large organisations.

Strong knowledge of responsible AI use in the public sector

Ability to translate complex policy into practical, accessible training across technical and non-technical staff

Demonstrable skill in creating interactive, real-world Copilot use cases, including safety calloutscallouts and verification steps to reinforce compliant usage.

Advanced reporting and analyticsanalytics capability, delivering adoption insights, completion rates, and improvement plans for leadership teams.

Details:-

£600 Per Day Inside IR35

IR354 month contract (extension possible)

Hybrid working - One day per week in office

Please get in touch for further information.

Ai Verification Researcher - Telecoms

3-month initial contract - Scope to extend

£600 - £700 per day - Umbrella engagement

Sanderson is partnering with an organisation seeking an experienced researcher specialising in AI verification within telecom systems. The successful candidate will produce comprehensive reports on international AI verification practices, review industry standards, identify emerging challenges, and leverage their expertise to develop proof-of concept case studies addressing these challenges.

Key Requirements:

Proven experience in AI verification, validation, and testing within telecom systems

Strong knowledge of 5G, 6G technologies, and telecom AI standards

Familiarity with industry standards bodies and practical insights into AI deployments

Excellent technical writing and communication skills, with the ability to simplify complex topics for diverse audiences

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason***,*** please let us know when you apply or talk to the recruiters directly so we can support you.

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Frequently asked questions

What types of AI/ML Engineer jobs are available in London?

London offers a wide range of AI/ML Engineer roles including positions focused on natural language processing, computer vision, deep learning, data analysis, and AI research across various industries such as finance, healthcare, and technology.

What qualifications and skills are commonly required for AI/ML Engineer jobs in London?

Employers typically look for candidates with a strong background in computer science, mathematics, or related fields, experience with machine learning frameworks like TensorFlow or PyTorch, proficiency in programming languages such as Python or R, and a solid understanding of algorithms and data structures.

Are there remote or hybrid AI/ML Engineer job opportunities in London?

Yes, many companies in London offer remote or hybrid working arrangements for AI/ML Engineers, especially following the rise in flexible work trends. Job listings will typically specify the work location and remote options.

How can I increase my chances of landing an AI/ML Engineer job in London?

To improve your chances, build a strong portfolio showcasing your projects, contribute to open-source AI/ML initiatives, stay updated with the latest developments in the field, network with professionals in the London AI community, and tailor your CV and cover letter to highlight relevant experience.

What is the typical salary range for AI/ML Engineers in London?

Salaries for AI/ML Engineers in London vary depending on experience and company size but generally range from £50,000 to £90,000 per year, with senior roles and specialized expertise commanding higher compensation.

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