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AI/ML Engineer Jobs

Overview

Discover top AI/ML Engineer jobs on Haystack, your go-to IT job board for cutting-edge opportunities in artificial intelligence and machine learning. Whether you're a seasoned AI engineer or just starting your career, find the latest roles from leading tech companies, startups, and innovative enterprises. Start your search today and take the next step in your AI/ML career with Haystack!

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Data Engineer - Start-up

Tenth Revolution Group

A rapidly growing company in the B2B Software as a Service (SaaS) space are looking for a Deployed Engineer to join their expanding team in London (hybrid working - 2-3 days a week in their modern office space).

Their product is a platform that acts as a digital twin of a business - integrating internal and external data from a variety of sources to act as a single source of truth, which powers actionable insights at scale. When combined with AI algorithms, the platform drives strategic decision-making, and enables planning and effective execution, allowing businesses to achieve their targeted state. They are a true pioneer in their field!

They believe the future of B2B SaaS is about delivering tailored, dynamic solutions for their clients, rather than implementing static tools. This is where you come in - you’ll be working within a team who believe value is created not just in the codebase, but in the implementation layer - making this role ideal for someone who thrives in dynamic, customer-facing environments.

The role:

Adapt and deploy a powerful data platform to solve complex business problems

Design scalable generative AI workflows using modern platforms like Palantir AIP

Execute advanced data integration using PySpark and distributed technologies

Collaborate directly with clients to understand priorities and deliver outcomes

What We’re Looking For:

Strong skills in PySpark, Python, and SQL

Ability to translate ambiguous requirements into clean, maintainable pipelines

Quick learner with a passion for new technologies

Experience in startups or top-tier consultancies is a plus

Nice to Have (not essential):

Familiarity with dashboarding tools, Typescript, and API development

Exposure to Airflow, DBT, Databricks

Experience with ERP (e.g. SAP, Oracle) and CRM systems

What’s On Offer:

Salary: 50,000- 75,000 + share options

Hybrid working: 2-3 days per week in a vibrant Soho office

A highly social culture with regular team events and activities

Work alongside seasoned tech and business leaders

Be part of a mission-driven company with a strong social impact ethos

If you’re excited by the idea of working at the intersection of AI, data, and enterprise transformation - and want to be part of a fast-scaling, values-led team - we’d love to hear from you.

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.

Data Engineer - PySpark, Databricks

Tenth Revolution Group

Their product is a platform that acts as a “digital twin” of a their customers businesses - integrating internal and external data from a variety of sources to act as a “single source of truth”, powering actionable insights at scale. When combined with AI algorithms, the platform drives strategic decision-making, and enables planning and effective execution, allowing businesses to achieve their targeted state. They are a true pioneer in their field!

The role:

Adapt and deploy a powerful data platform to solve complex business problems

Design scalable generative AI workflows using modern platforms like Palantir AIP

Execute advanced data integration using PySpark and distributed technologies

Collaborate directly with clients to understand priorities and deliver outcomes

What We’re Looking For:

Strong skills in PySpark, Python, and SQL

Ability to translate ambiguous requirements into clean, maintainable pipelines

Quick learner with a passion for new technologies

Experience in startups or top-tier consultancies is a plus

Nice to Have:

Familiarity with dashboarding tools, Typescript, and API development

Exposure to Airflow, DBT, Databricks

Experience with ERP (e.g. SAP, Oracle) and CRM systems

What’s On Offer:

Salary: 50,000- 75,000 + share options

Hybrid working: 2-3 days per week in a vibrant Soho office

A highly social culture with regular team events and activities

Work alongside seasoned tech and business leaders

Be part of a mission-driven company with a strong social impact ethos

If you’re excited by the idea of working at the intersection of AI, data, and enterprise transformation - and want to be part of a fast-scaling, values-led team - we’d love to hear from you.

Software Engineer

Spectrum IT Recruitment

Software Engineer (Rust, Python, and JavaScript)

Alton, Hampshire (Hybrid after probation)

Must be Eligible for SC Clearance

£30,000 - £50,000 Depending on Experience

Join a specialist technical consultancy delivering innovative solutions across software development, data science, AI, and engineering. You’ll work on a variety of multi-disciplinary projects applying programming, modelling, and analytical techniques to solve real-world problems.

Key Responsibilities:

Develop software in a range of languages - currently including Rust, Python, and JavaScript (but we’re flexible depending on project needs).

Build and run mathematical models to support expert advice and decision-making.

Apply statistical and computational methods to uncover insights from data.

Research and apply new techniques, including AI and machine learning.

Prepare clear, concise technical reports and presentations.

Skills & Experience:

Degree in mathematics or a related scientific discipline.

Strong mathematical ability.

Programming skills - Rust, Python, and JavaScript are especially valued, but all experience is considered.

Solid working knowledge of Microsoft 365.

Strong written and verbal communication skills.

If you have the relevant skills for this role and are ready for the challenge, then please send your CV to

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Senior Quant Consultant - FX Options - Inside IR35

Part-time / 3 days per week working

6 months +extension

My client is seeking a Senior Consultant to join our Quantitative Research (QR) team, which develops the models and tools used by trading to price and risk-manage FX options.

The Role

Review and optimise existing FX vanilla & exotic option pricing models

Provide insight on market practices and propose improvements

Document and justify modelling choices

Support and guide the team in model development

What We’re Looking For

Extensive Front Office Quant experience in investment banks

Expertise in FX products, pricing models & numerical methods

Strong programming skills (C++, Python or similar)

Experience with industrial pricing libraries and project delivery

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Technical Product Manager - Data, GCP, BigQuery, Cloud, Pyton, CI/CD, MLOps

Role Profile

Role Title: Technical Product Manager (Dynamic Allocation Services)

Reporting To: Head of Product

Location: Birmingham / Remote (with occasional travel to customer sites)

Summary

The Technical Product Manager (Dynamic Allocation Services) is responsible for driving the technical direction, development, and optimisation of our product. Combining product management with strong expertise in algorithms, data modelling, and optimisation, this role ensures that complex allocation logic is delivered as scalable, reliable, and commercially valuable product features.

Acting as the link between mathematical models, engineering teams, and business requirements, the Technical Product Manager actively seeks out opportunities to improve system performance, defines the KPIs to measure success, and designs the algorithms to achieve it. These are then translated into structured work packages for the engineering team to implement. Working alongside the Innovation Product Manager, this role provides complementary leadership, with a focus on technical depth, algorithmic design, and measurable performance improvement.

Key Responsibilities

Algorithm Design & Ownership

Act as the technical thought leader for DAS, applying advanced mathematics and optimisation techniques to solve complex real-world allocation problems.

Design new algorithms and refine existing models to ensure DAS delivers accurate, scalable, and commercially valuable outcomes.

Own the definition and documentation of allocation logic, ensuring clarity for engineering teams and long-term maintainability.

Continuous Improvement & KPI Measurement

Proactively identify opportunities for system enhancement, using operational data, simulations, and industry insight.

Define measurable KPIs to evaluate algorithm performance and the impact of incremental improvements.

Establish and maintain a structured cycle of experimentation, validation, and refinement.

Translation into Delivery

Break down complex algorithmic concepts into clear requirements, specifications, and work packages for the engineering teams.

Collaborate closely with developers to ensure algorithms are implemented correctly, tested thoroughly, and deployed with confidence.

Support version control, testing strategies, and validation processes to maintain the technical integrity of DAS.

Collaboration & Stakeholder Engagement

Work alongside the Innovation Product Manager to align technical development with functional roadmap and commercial objectives.

Communicate complex technical ideas to non-technical stakeholders clearly and pragmatically.

Provide expert guidance and thought leadership internally and externally, ensuring DAS remains at the forefront of decision-automation solutions.

Customer Engagement & Support

Act as the product s technical ambassador with customers, supporting onboarding and implementation.

Provide expert guidance on how DAS can address customer planning and analytical needs.

Collect and analyse customer feedback to inform technical priorities and product roadmap refinements.

Experience & Knowledge Required

Education & Background

Degree in Mathematics, Computer Science, Data Science, Engineering, or related field.

Proven experience in technical product management, data science, or algorithm-heavy environments.

Technical Expertise

Strong knowledge of optimisation, statistical modelling, and applied mathematics.

Familiarity with Python and ability to translate algorithmic design into technical specifications.

Experience designing or managing decision-support systems, simulations, or optimisation engines.

Familiarity with cloud environments (e.g. GCP, BigQuery) and modern deployment practices (CI/CD, MLOps).

Product & Delivery Skills

Ability to translate complex technical concepts into structured product requirements.

Experience in Agile product delivery, backlog management, and sprint planning.

Up to 10% discretionary bonus

Fully flexible benefits package including private medical insurance, life assurance, and discounted shopping & travel perks

Personal development plan with access to training, conferences, and real career progression

Machine Learning Operations Lead

Lead Machine Learning Operations Engineer - Remote - 70- 90k + Excellent Benefits

We’re seeking a Lead Machine Learning Operations Engineer to spearhead the development and optimisation of our cutting-edge data platform. This is a strategic, hands-on leadership role where you’ll guide a growing ML Ops team, architect scalable infrastructure, and ensure seamless deployment and monitoring of machine learning models in production.

What you’ll be doing as Lead ML Ops Engineer:

Leading the design and implementation of robust ML Ops pipelines using Azure, Databricks, and Delta Lake

Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis)

Driving integration with cloud-based data storage solutions such as Snowflake

Collaborating with data scientists, engineers, and product teams to align ML infrastructure with business goals

Establishing best practices for model deployment, monitoring, and lifecycle management

Conducting performance tuning, load testing, and reliability engineering

Managing CI/CD workflows and infrastructure as code via Azure DevOps and GitHub

Mentoring junior engineers and fostering a culture of technical excellence and innovation

What we’re looking for from the Machine Learning Operations Lead:

Proven experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architectures

Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture

Hands-on experience with Docker, container orchestration, and scalable API design

Excellent communication and stakeholder management skills

Ability to drive strategic initiatives and influence technical direction

Bonus: experience with Azure Functions, Azure Containers, or Application Insights

Benefits for the Machine Learning Operations Engineer:

25 days holiday (rising with service) + bank holidays

Annual discretionary bonus

Enhanced pension scheme

Flexible working and flexi-time options

Healthcare cash plan

Electric vehicle salary sacrifice scheme

Discounts scheme

Wellbeing app

Enhanced maternity and paternity leave

Life assurance (4x salary)

Cycle to Work scheme

Employee referral scheme

If you are interested in this position please click ‘apply’.

Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors.

Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.

For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Senior Software Engineer (AI)

IntaPeople are delighted to represent a dynamic financial services organisation based in Cardiff who have been recognised as a Great place to Work for several years running. Due to a large amount of continued growth we re looking to hire an experienced AI focussed Software Engineering within their core product team.

The team work remotely so candidates based throughout the UK are welcome to apply but a Cardiff based office location is also available for hybrid working if desired. Candidates may need to visit the office on a Ad-hoc basis, so candidates must be living and working within the UK.

This is a fantastic time to join their product teams who have a wide range of technology products, software and services on offer. Being an experienced Engineer you will also contribute to a wide range of development projects whilst championing engineering excellence which will help shape the future of their products.

Skills and experience at a glance:

5-10years experience as a Software Engineer

Significant experience in software engineering with proficiency in at least one programming language such as Golang, Java, Python, or Typescript.

Strong understanding of AI/ML concepts and ability to integrate AI-driven solutions into applications

Experience with front-end and back-end frameworks (e.g., React, Express.js, or equivalents)

Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-native architectures

Familiarity with CI/CD pipelines, DevOps practices, and automation tooling

Ability to work effectively in Agile/Scrum teams and adapt to evolving technologies

Knowledge of accessibility standards, secure software development practices, and responsible AI principles

Responsibilities at a glance:

You ll be responsible for building clean, idiomatic, and maintainable code aligned with business and AI-driven requirements whilst rapidly prototyping AI-powered solutions, including agentic workflows and proof-of-concept applications

Contributing your technical experience and excellence to the wider engineering team you ll be required to maintain a suitable level of documentation around AI models and system architecture whilst continuous improvement across AI capabilities and team practices.

As a Senior level Engineer you will work effectively as a member of a close knit Scrum/Agile team whilst always practicing the importance of Secure Software Development.

Having skills in technologies such as Kubernetes, Docker and Database engineering (PostgreSQL/DynamoDB) would be desirable but not essential. Exposure to MLOps practices for deploying and monitoring AI models in production would also be highly desirable.

Role at a glance:

Senior Software Engineer (AI)

Fully remote or Hybrid positions available (UK only)

A competitive starting salary of circa £75,000 depending on experience

25 days annual leave (plus bank holidays) rising upon length of service

Ability to buy or sell up to 5 days per year

A matched pension of up to 6%

Private Health Insurance

Cycle to work scheme

Training budgets

Bonus and share schemes

Plus so much more .

For more information, please call Nathan Handley on (phone number removed) or click APPLY now to be considered.

As mentioned, the teams do work largely on a remote basis to candidates will need to have a suitable home working environment and be comfortable with ad-hoc travel to Cardiff 3-4 times per year.

We are unable to provide sponsorship opportunities.

Software Engineer (AI & Workflow Automation)

Location: North West (Remote)

Type: Permanent

Salary: Up to 65,000 + bonus and more

I’m working with a fast-growing UK software company that’s building automation and AI products to cut out repetitive work and free people up for what actually matters. They’ve kept their startup energy - quick to experiment, fast to ship, and genuinely passionate about tech.

They’re looking for a software engineer who loves building, tampering, and experimenting. Someone who gets a buzz from automating boring tasks and pushing AI into real-world use.

The role

Build and maintain core platform features (backend, APIs, integrations).

Work on AI-driven projects - voice assistants, chatbots, workflow automation.

Integrate AI and telephony APIs (e.g. GPT, Deepgram, ElevenLabs).

Improve system performance, real-time audio, and reliability.

Contribute to deployment (Docker, CI/CD, Linux).

Work closely with a flat, remote-first team where ideas move quickly from concept to release.

What they’re looking for

Strong skills in PHP (Symfony) and Node.js (Express/WebSockets).

Database expertise (MySQL/MariaDB, Redis).

Experience with AI/ML APIs, especially conversational AI.

Hands-on with telephony/messaging APIs.

Solid grounding in Git, testing, debugging, and software best practices.

Clear communicator, proactive, and comfortable working remotely.

Nice to have

TensorFlow/PyTorch or AI model fine-tuning experience.

Some frontend skills (JS, Stimulus/jQuery, Bootstrap/Tailwind).

Background in automation, workflow, or CRM systems.

Senior Data Scientist

London, UK (Hybrid 2 days pw)

Leading Tech Company

About the Company:

Our client is a fast-growing technology company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry.

The Opportunity:

We are partnering with our client to find a talented Senior Data Scientist who is passionate about using data to deliver real business impact. This is a fantastic opportunity to join a collaborative team where you’ll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies.

Key Responsibilities:

Develop and implement machine learning models and algorithms to solve real-world business challenges.

Collaborate with cross-functional teams to identify opportunities where data science can create value.

Conduct statistical analysis and data mining to extract insights from large, diverse datasets.

Translate complex data findings into clear and actionable recommendations for both technical and non-technical audiences.

Ensure data quality and integrity while building scalable solutions.

Stay current with the latest developments in AI, machine learning, and data science methodologies.

Experienced Needed:

Masters or PhD in a STEM subject

Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch.

Solid SQL skills and experience working with relational databases.

Exposure to cloud platforms (AWS, GCP, or Azure) would be advantageous.

Strong analytical and problem-solving abilities, with the ability to work in ambiguous environments.

Excellent communication skills to effectively present insights and recommendations.

A collaborative mindset, with the ability to work in a dynamic, fast-paced environment.

What’s on Offer:

Salary 80,000 - 90,000 DOE

Hybrid working model with an office in central London.

Opportunities for professional growth and development.

The chance to work on impactful projects within a forward-thinking tech company.

How to Apply:

If you’re a Data Scientist looking for your next challenge and want to work with a growing tech company that’s making an impact, we’d love to hear from you. Please apply via LinkedIn or reach out directly

Please note, sponsorship is NOT available for this role.

Contract Data Scientist - outside IR35, 100% remote

My client, a specialist engineering consultancy with a client base spanning a number of technical engineering sectors, requires an experienced Data Scientist for a contract role outside IR35. This role is 100% WFH.

The Data Scientist will utilise their expertise to analyse complex data sets and provide insights to give clients a competitive advantage. The Data Scientist will be responsible for designing and implementing data-driven solutions to address business problems and collaborate with cross-functional teams to deliver high-quality analytics solutions.

The Data Scientist will have experience in using a variety of techniques to analyse complex datasets and develop data models. You will be experienced in data visualisation, understanding how to contextualise results and communicate insights to both technical and non-technical audiences.

Computer vision experience is essential for this role.

Responsibilities

Work with cross-functional teams to identify business problems and translate them into data-driven solutions.

Develop algorithms and statistical models to analyse and interpret complex data sets.

Collaborate with software engineers to integrate models into the production environment.

Communicate insights and results to technical and non-technical stakeholders.

Ensure data quality and accuracy in all deliverables.

Continuously monitor and improve the performance of models and algorithms.

Stay up-to-date with emerging trends and technologies in the field of data science.

Requirements

Proven experience as a data scientist using Python and a range of libraries (Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly etc.).

Strong expertise in statistical modelling, machine learning, and data mining techniques.

Experience in computer vision is essential.

Data engineering (pipelines, databases, infrastructure), ideally with AWS experience would be an advantage.

Experience with data analysis, data visualization, and data cleansing.

Experience in applying data science within the context of engineering, manufacturing, or industrial operations desirable.

Degree in Computer Science, Mathematics, Statistics, Data Science, or a related field.

Machine Learning Operations Engineer

Machine Learning Operations Engineer - Remote - 50- 70k + excellent benefits

We’re looking for a skilled Machine Learning Operations Engineer to join a newly established team working on an exciting data platform project. This is a hands-on role where you’ll help build and maintain the infrastructure that supports machine learning models in a live environment.

What you’ll be doing as the Machine Learning Operations Engineer:

Developing and maintaining API services using Azure and Databricks

Managing caching layers with Azure Cache (Redis)

Using Delta Live Tables for data processing and analytics

Integrating with cloud-based data storage solutions like Snowflake

Collaborating with cross-functional teams in an agile environment

Supporting analytics, model deployment, and data-driven decision tools

Conducting performance, load, and end-to-end testing

Writing pipeline code and managing deployments via Azure DevOps (GitHub)

What we’re looking for from the Machine Learning Operations Engineer:

Solid experience in ML Ops, particularly with Azure and Databricks

Familiarity with Postgres, Redis, and Snowflake

Understanding of Delta Lake Architecture, Docker, and container services

Experience building and orchestrating APIs

Strong problem-solving and communication skills

Bonus: exposure to Azure Functions, Containers, or Insights

Benefits for the Machine Learning Operations Engineer:

25 days holiday (rising with service), plus bank holidays

Annual discretionary bonus

Enhanced Pension scheme

Flexible working and flexi-time options

Healthcare cash plan

Electric vehicle salary sacrifice scheme

Discounts scheme

Wellbeing app

Enhanced mat and pat leave

Life assurance (4x salary)

Discounts on insurance

Cycle to Work scheme

Employee referral scheme

If you are interested in this position please click ‘apply’.

AWS Cloud ML Engineer required on a contract basis, requiring travel to an office in Cheshire 2 days per week, on an initial 6-month contract.

This role will work with the organisation’s existing team to support the delivery of one of the organisation’s key strategic initiatives.

Experience required:

AWS Data/ML Engineering & ML Ops (ECS, Sagemaker)

CI/CD pipelines (GitLab, Jenkins)

Python, PySpark & Big Data ecosystems

AI/ML lifecycle, deployment & monitoring

MLOps tooling (MLflow, Airflow, Docker, Kubernetes)

Front-end exposure (HTML, Flask, Streamlit)

RESTful APIs & backend integration

If this ML Engineer role is of interest, please apply now for immediate consideration.

AI / Gen-AI Leader - London (hybrid) - (Apply online only)k base plus 15% cash flex which can be taken as cash or used to buy extra benefits and target 20% bonus

Our client, a leading global consulting firm is seeking a dynamic AI / Gen-AI Leader to drive their go-to-market strategy, engage with clients in the Financial Services sector, and generate new business opportunities. This role requires a strategic thinker with deep expertise in generative AI, agentic AI, and large language models (LLMs) such as OpenAI’s GPT, LLaMA, Hugging Face models, and others. You will leverage these technologies to craft high-impact, AI-driven solutions tailored to the Banking, Capital Markets (BCM), and Insurance sectors.

Develop and execute go-to-market strategies for AI and Gen-AI solutions in Financial Services, focusing on Banking, Capital Markets, and Insurance.

Build and maintain strong client relationships, delivering tailored AI solutions using generative and agentic AI frameworks.

Identify innovative use cases for generative and agentic AI, such as credit decisioning, fraud detection, personalized banking, claims processing, underwriting automation, and algorithmic trading.

Provide consulting on Gen-AI scalability, governance, prompt engineering, Gen-AI factory setup, and LLM fine-tuning.

Integrate advanced AI technologies using platforms like OpenAI, Anthropic, Meta’s LLaMA, and emerging multi-modal models.

Design and deploy autonomous agentic AI systems for financial applications, including self-optimizing models and automated compliance monitoring.

Represent our client as an AI thought leader at industry events, conferences, and client engagements.

Demonstrate expertise in LLMs (e.g., GPT-4, LLaMA) with practical implementations across financial domains.

Build scalable AI architectures using cloud platforms (AWS, Azure, GCP) and integrate with Snowflake and Databricks.

Ensure AI solutions adhere to governance standards and financial regulations, with a focus on ethical and compliant deployment.

Your Profile:

Skilled in identifying and articulating AI/ML, generative AI, and agentic AI use cases in banking and insurance, including credit decisioning, claims processing, fraud detection, and personalized banking.

Proven ability to build compelling business cases and value models that highlight the tangible impact of AI solutions.

Strong experience across the full pre-sales cycle, including solution conceptualization, client presentations, proposal development, and contract negotiation.

Demonstrates strategic thinking and project leadership to drive AI initiatives from concept to deployment.

Experienced in building, mentoring, and leading high-performing AI teams across onshore and offshore locations.

Excellent client engagement skills, with a track record of working effectively with C-level stakeholders.

Holds a data science or STEM degree with a solid foundation in AI, ML, and advanced analytics.

Passionate about innovation and thought leadership in AI, consistently delivering creative solutions to complex business challenges.

Technically proficient in LLMs, agentic AI frameworks, Gen AI factories, reusable AI assets, and integration with financial systems.

Demonstrated leadership in client-facing roles, navigating complex environments, and driving AI adoption through strong stakeholder relationships.

AI / Gen-AI Leader - London (hybrid) - (Apply online only)k base plus 15% cash flex which can be taken as cash or used to buy extra benefits and target 20% bonus

Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website.

Please note that no terminology in this advert is intended to discriminate on the grounds of a person’s gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job.

Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.

NET Developer

Opus Recruitment Solutions

.NET Developer / 6 months / Cambridge (Hybrid) / 400 to 450 pd (Inside IR35)

I am currently looking for a contract .NET Developer to join a consultancy client of ours on a 6 month contract. This will be a hybrid role, requiring 3 days per week onsite in Cambridge. This will be inside IR35.

Key skills & experience needed:

Expertise in platform or cloud-native service development with Microsoft and .NET technologies.

Hands-on proficiency in Microsoft Azure PaaS services .

Strong track record in RESTful API architecture and governance.

Solid understanding of API security, authentication/authorization, and data privacy practices.

Working experience of AI/ML tools and Python programming

If interested, please reply to this email with your latest CV and I will be in touch to discuss in more detail.

Flight Software Engineer

Permanent Position - Hybrid (3 days on site per week)

There aren’t many positions that come up like this, it’s an opportunity to join a company who are almost certain to make a huge impact on their market. They are an autonomous systems start up based in London, developing technology to ensure technology in this space does what it’s supposed to do.

They are looking for a flight software engineer to join the team for Ai and robotics applications. Experience sought is below:

Developing software for robotics, UAV or autonomous systems. Preferably in safety-critical or mission critical environments.

algorithm experience for navigation, control, planning, decision making etc.

Robotics framework experience - ROS/ROS2

Be SC cleared or have the ability to gain SC Clearance

The position will be a pivotal one and offers some incredible career opportunities. They are a start-up and the environment has a brilliant innovative feel to it, the office is in a spectacular location and you’ll have the chance to work with some incredible colleagues there.

If you’re interested in exploring this one further, please apply to this advert or reach me on LinkedIn, I’m George Russell at iO Associates

Location: Radbroke (Hybrid - 2 days/week in office)

6 Months +

Umbrella Only - Inside IR35

About the Role

We are seeking a highly skilled and experienced Senior AWS Data & ML Engineer to join our team in Radbroke. This hybrid role offers the opportunity to work on cutting-edge machine learning and data engineering projects, leveraging the latest cloud technologies and MLOps practices.

Required / Primary Skills:

Experience in front-end development (HTML, Stream-lit, Flask

Familiarity with model deployment and monitoring in cloud environments (AWS).

Understanding of machine learning lifecycle and data pipelines.

Proficiency with Python, Pyspark, Big-data ecosystems

Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes)

Secondary Skills

Experience with RESTful APIs and integrating backend services

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

Hybrid - 2-3 days per month on site in London

(Apply online only) per day (Inside IR35)

Responsibilities-

Leading on Generative AI solution design and development

Researching and implementing cutting edge techniques, methodologies and approaches

Taking projects from design, through proof of concept and into production and developing and delivering data science solutions using a variety of data sources

Leading stakeholder management and issue resolution on project work

Identifying, sourcing, and engineering data to support data science activities

Collaborating with other data professionals and business stakeholders

Ensuring all work is fully documented and quality assured

Taking solutions through internal governance and risk management processes

Experience Required-

Degree in a quantitative discipline (e.g., statistics, computing science, data science) or equivalent experience

Experience in dealing with high volumes of data with excellent attention to detail

Knowledge of a wide variety of Generative AI models

Conceptual understanding of how large language models work

Proficiency in coding languages for data manipulation (e.g., SQL) and machine learning & AI development (e.g., Python)

Experience with dashboarding tools such as Power BI and Tableau (beneficial but not essential)

Experience with cloud native tooling for Azure and AWS

Strong analytical and problem-solving skills

Disclaimer:

This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited (“ARM”). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

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

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.

Technical Architect - AI/ML

Summer Browning Associates

Summer-Browning Associates are currently supporting our Central Government client who are seeking a Technical Architect on an AI programme, for an initial 6 month contract

Service Location: London (successful candidate must be able to travel to London once per week)

We’re looking for people with a passion for public service and the skills to make a difference and who 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

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.

To be considered:

Recent experience operating within a Central Government department

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

To apply, please submit latest CV for review

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