ArduPilot / GPS-Denied Navigation Engineers - Urgent Need!

A heavily funded defence tech start-up that has just emerged from stealth has seen rapid success off the back of their passion to support Ukraine. What they do matters and they are set to have a huge impact on NATO Defence.

Right now, they are building autonomous systems designed to operate in GPS-denied environments.

The team is working on real-world platforms already being deployed, solving some extremely difficult navigation problems where GNSS simply isn’t reliable. Data from the front line means new iterations are constantly needed and technology changes.

So you’ll need to thrive in fast pace environments.

They’re looking for engineers who have experience with:

* ArduPilot

* GPS-denied / GNSS-denied navigation

* Sensor fusion across multiple payloads (No specific stack)

This is a small, high-calibre team tackling genuinely hard engineering problems based out of London.

If you’ve worked on UAV autopilots, robotics autonomy, or advanced sensor fusion, I’d be keen to speak.

Drop me a message or comment below

Job title: Electronic Engineer

Location: Hoddesdon, Hertfordshire

Salary: £40-45k per annum plus benefits and EOT bonus

Hours: Full time, 37 hours per week with early finish on Fridays

About the role
We are recruiting for an Electronic Engineer to join a long-established scientific manufacturing business. The role focuses on designing the next generation of specialist research instruments while also supporting existing products used by universities and research organisations worldwide.

This opportunity would suit an Electronics Design Engineer, Embedded Systems Engineer, Hardware Engineer, Instrumentation Engineer, or R&D Engineer looking for a varied hands-on development role within a small, collaborative engineering team.

What you’ll do
• Design and develop new scientific instruments from concept through to production
• Support and improve existing electronic and embedded systems products
• Work with analogue and digital electronics, A to D conversion, and serial interfaces
• Contribute to embedded software development and debugging, primarily in C
• Assist with mechanical and whole-instrument design considerations
• Learn and apply infrared measurement techniques, optics, and low-pressure gas systems
• Provide occasional technical support input for long-life products used in research environments
• Collaborate closely with engineering, production, and service teams

What we’re looking for
• At least two years’ experience in electronic product design or development engineering
• Understanding of analogue circuitry, A to D converters, and embedded systems
• Familiarity with interfaces such as I2C, SPI, USB, or RS232
• Experience writing and debugging software, ideally in C
• Broad engineering mindset with willingness to work across disciplines
• UK residency

Nice to have
• Degree or qualification in electronics, physics, engineering, or another STEM subject
• Knowledge of DSP techniques or embedded FORTH language
• Understanding of infrared sensing, optics, or gas measurement systems
• Appreciation of mechanical design within complete instruments
• Experience in scientific instrumentation, laboratory equipment, or precision devices

Who might suit this role
This role may suit someone early to mid-career in electronics or embedded engineering who enjoys practical development work and learning new technologies. It could also appeal to engineers from instrumentation, medical devices, laboratory equipment, environmental monitoring, or other precision manufacturing sectors seeking a stable long-term product environment.

The ideal candidate will be curious, adaptable, and comfortable working across electronics, software, and mechanical aspects of product development within a small specialist company.

Why join
• Established UK manufacturer exporting globally
• Varied engineering role with real product ownership
• 37-hour week with early Friday finish
• 25 days holiday plus statutory leave and pension
• Free on-site parking

• Employee Ownership Trust with potential tax-free bonus up to £3,500

£25,000 - £35,000 per annum, depending on experience

Level/Experience: SRE Level - 1-3 years experience

Location: Farringdon, London (hybrid, with up to 2 days a week WFH).

Who are we

Tapestry is a multi-award-winning research agency in mid-transformation. Were rebuilding our processes from the inside out, including using Displayr to streamline our data pipeline.

The Role

Weve moved to Displayr, and need someone who can use it with confidence, curiosity and creativity. You will be the connection between teams: part Displayr specialist, part problem-solver, part data scientist. This is a role at the coal-face of our work. Youll manage an ever-shifting workload, keeping projects on track amid changing priorities and pipelines.

Key Responsibilities

• Consistently delivering clean, accurate tables & reports
• Help us to maximise the benefits of Displayr
• Own and improve quality assurance
• Find why on earth are we doing it this way? moments and help fix them.
• Create and champion best practice.
• Look across projects to spot efficiencies and patterns.
• Work with our development team to automate as much as possible.

The Candidate

Youve already made a start to your career (probably 18 months+) and we want you to demonstrate

• Relevant Skills:Required: Fluent with Displayr and/or Q

• An appreciation of data packages/languages such as SPSS R, Python or Javascript

• Knowledge:Clear understanding of data structure, Displayr workflow and QA, and proven ability to apply that knowledge.

• Curiosity: You want to know more, learn more, try more.

• Problem Solving:You see patterns, spot gaps, fix stuff, then work to spread that knowledge.

• Consistency:Strong attention to detail, reliability and quality. Youre moving beyond following process to helping us shape it.

• Organisation:You plan well and when needed can juggle shifting demands without dropping anything.

• Communication:Clear, calm, good at translating jargon.

• Teamwork:Willingness to engage, challenge and collaborate. You listen, question and work well with others.

Tapestry is an equal opportunity employer. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, marital status, race, religion, colour, age, disability or sexual orientation.

Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. We Get You Hired Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Tech Focus: Azure / OpenAI / Copilot

Rate: Inside IR35: £500-£600/day

Location: Fully Remote

This is a fantastic opportunity for an AI Engineer to join a global construction and property consultancy that has undergone significant digital transformation. The organisation has invested heavily in its digital and data foundations and now wants to accelerate its AI capabilities. They have already built an AI platform and identified use cases. They now need an engineer who can help bring them to life.

Although the journey has begun, this hire is critical. As the AI Engineer, you will be driving this forward. Taking a hands-on role in developing AI solutions from the ground up and establishing best practices, standards, and guardrails for future development.

The organisation wants to leverage AI to streamline processes, solve complex challenges, and deliver tangible business outcomes. They work exclusively within the Microsoft Azure ecosystem, so practical experience with AI tooling in a cloud environment is essential.

What We Are Looking For

• Proven, practical AI development experience - building solutions that have delivered real business outcomes
• Experience developing chatbots, agentic AI, or similar applied AI applications
• Strong understanding of best practices, governance, and guardrails for safe and scalable AI adoption
• Scripting experience - Python, R, or Java.
• Hands-on experience with Azure cloud AI services, such as: Azure AI, Azure Machine Learning, Azure OpenAI (Open to candidates with equivalent experience in other cloud environments)
• Experience with Copilot (or similar tools)
• Experience with OpenAI models

Why This Role?

This is a unique opportunity to help to shape the future of AI for a global business and will give you an exceptional opportunity to further develop your skills and take more ownership.

If this sounds like the right fit and you’d like to find out more, please apply directly and we’ll be in touch.

Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python)

We are recruiting for an AI Engineer / Data & AI Scientist to join a high-impact programme building next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments.

This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks.

Key Responsibilities

Design and build LLM-powered applications using Python and Generative AI frameworks

Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows

Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks

Engineer scalable AI infrastructure across Azure and GCP environments

Implement prompt engineering, model evaluation and LLMOps monitoring

Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities

Required Skills

Strong Python development experience

Experience building production LLM or Generative AI applications

Knowledge of RAG pipelines, prompt engineering and vector search

Experience with agentic AI frameworks (LangGraph, CrewAI or similar)

Exposure to LLMOps, model evaluation or monitoring

Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP)

Desirable Experience

Conversational AI or AI assistant platforms

Multi-agent architectures

Responsible AI, AI ethics or guardrail design

Agile / Scrum environments

This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms.

Apply now to work on cutting-edge generative AI and LLM technologies.

TPBN1_UKTJ

Machine Learning Engineer (PyTorch LLM) London onsite to £110k

Do you have expertise with Machine Learning in production?

You could be progressing your career at a London based tech start-up with £5 million in recent pre-seed funding, in an impactful role that you’ll shape. The product is an AI agentic based platform that writes production grade code.

What’s in it for you:

Salary to £110k

Equity / stack options

30 days holiday (+ Bank Holidays)

Daily lunch, monthly breakfasts

Dog friendly office

Pension

Monthly socials

Impactful role that you can shape and influence

Your role:

As a Machine Learning Engineer you’ll take open-source LLMs (code and general models) and turn them into high-performance software engineer agents using supervised fine tuning and large scale reinforcement learning. This isn’t prompt engineering. You’ll design and run serious training experiments across multi-node GPU clusters, build RL loops where models write code and get rewarded (or penalised) by real test outcomes and push long-context and MoE style architectures to their limits.

You’ll work hands-on across the full stack: custom PyTorch dataloaders, distributed training (DDP/FSDP), experiment tracking, debugging NCCL issues at 2am, and squeezing performance out of multi-GPU jobs. You’ll help design opinionated reward functions that reflect what great engineering actually looks like, not just benchmark scores.

You’ll extend benchmark suites, test models on real world repositories, analyse failure modes and feed insights back into data and training strategy. Collaborating with infrastructure, product and research teams you’ll contribute to decisions about what to train next and how to measure results.

Location / WFH:

You’ll be based in the London, dog friendly office on a fulltime basis, with daily catered lunch, working hours 0900-1700 (with no expectation to do more).

About you:

You have strong experience with training deep learning models in production

You have an indepth knowledge of PyTorch including hands-on experience with torch.distributed (DDP/FSDP-style training, distributed data loading, gradient scaling, etc.)

You have experience of training large sequence models or LLMs at scale

You have a software engineering background with Python, also familiar with TypeScript and / or Golang

You have distributed systems / training ops experience including practical experience running multi-node jobs on GPU clusters (Slurm, Kubernetes, or managed cloud equivalents) and are familiar with GPU performance tuning: memory usage, mixed precision, throughput vs. latency tradeoffs

You have experience within a reinforcement learning environment

You’re collaborative with great communication skills

You are degree educated to BSc / MSc in a relevant discipline

Apply now or call to find out more about this Machine Learning Engineer opportunity.

TPBN1_UKTJ

Machine Learning/Data Engineer

£700-750/day overall assignment rate to umbrella

Fully remote

3-6 month initial

Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose.

As a Machine Learning Engineer, you’ll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments.

We’re looking for individuals with:

Experience: Proven background as a Machine Learning Engineer.

Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib).

Data transformation & manipulation : experience with Airflow, DBT and Kubeflow

Cloud: Experience with GCP and Vertex AI (developing ML services).

Expertise: Solid understanding of computer science fundamentals and time-series forecasting.

Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning).

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.

TPBN1_UKTJ

As a face-to-face Market Research Interviewer at Ipsos, you will be at the forefront of gathering valuable insights from the public on a variety of important and fascinating topics. You will travel to respondent’s homes to conduct face-to-face interviews and ensure respondents feel comfortable sharing their opinions. You will explain the survey process, answer any questions, and encourage participation. Don’t worry, you will receive plenty of training! During interviews, you will accurately record responses using provided devices and meet daily targets while maintaining high-quality standards.

Key Projects You’ll Work On:

• Public Affairs Sector: Engage in studies commissioned by the Department of Education, Home Office, and other government bodies.
• British Election Study: Contribute to one of the longest-running election studies worldwide, understanding political attitudes and behaviour.
• Millennium Cohort Study: Collect data on the development and experiences of young people born in England, Scotland, Wales, and Northern Ireland.
• Children of the 2020s: Longitudinal survey capturing data about child development, family context, and educational experiences.
• Anti-Social Behaviour Evaluation: Measure the impact of government schemes aimed at preventing anti-social behaviour.
• Barb Establishment Survey: Help shape the UK TV and advertising landscape with detailed audience data and insights.
• Mobi Test Travel Survey: Use cutting-edge GPS technology to capture travel patterns across Great Britain.

Requirements:

• Excellent communication and interpersonal skills.
• Must have access to a car and be comfortable with traveling. Business car insurance is required.
• A friendly and approachable demeanour.
• Ability to build rapport with people from all walks of life.
• A reliable and self-motivated individual with strong time management skills.

Benefits:

• Comprehensive 8-week training program - no prior experience necessary!
• Quarterly performance based bonuses of up to £500
• Mileage reimbursement.
• The opportunity to make a real impact by contributing to important research projects.
• Competitive discounts on shopping to holidays with our staff site, and the ability to send and receive e-card recognition.
• Strong support system including a ticketing system for inquiries, weekly drop-in sessions, and a dedicated Facebook Group for interviewers.

If you are a curious, resilient, and self-motivated individual who enjoys talking to people then Be a Game Changer! Apply Now!

Overview

We are seeking a System Engineer with strong CCSDS and LunaNet experience to support the detailed design and implementation of space communication architectures. The role focuses on low-level system design, interface definition, and protocol implementation, rather than high-level architecture.

Key Responsibilities

• Develop Low-Level Design (LLD) documentation for space communication systems.
• Implement and define interfaces aligned with CCSDS standards.
• Support LunaNet-compatible architecture and protocol implementation.
• Define detailed message flows, protocol stacks, and interface control documents (ICDs).
• Work with software, network and flight/ground segment teams to ensure interoperability and standards compliance.
• Support system integration, verification and validation activities.
• Contribute to simulation and test scenarios for deep-space communications.
• Analyse link performance, data routing and network behaviours within LunaNet environments.

Required Skills & Experience

• Strong experience with CCSDS standards (eg space packet protocol, CFDP, DTN/BP, TM/TC).
• Experience with LunaNet architecture and interoperability concepts.
• Proven work on Low-Level Design (LLD) and interface definition.
• Experience with deep-space communications or space networking systems.
• Familiarity with Delay/Disruption Tolerant Networking (DTN).
• Experience writing ICDs, protocol specifications and interface documentation.
• Experience supporting system integration and test campaigns.

Desirable

• Experience with NASA or ESA communication architectures.
• Knowledge of optical communications or advanced space networking.
• Experience with space mission ground/flight systems integration.

London | 12-month FTC | £70k-£90k
Month 1 fully onsite - then hybrid (3 days onsite)

Are you an engineer who loves building real AI systems that actually do things?
Do you get excited about autonomy and turning manual workflows into intelligent automation?

If yes - we’d really like to talk to you.

We’re hiring an AI Automation Engineer to join a small, highly technical AI team in financial services who are building a brand-new automation tool from the ground up. This is a rare chance to step into a role where your ideas, your engineering approach, and your problem-solving mindset will directly define the outcome.

Why we need you

Right now, critical internal data workflows rely on manual matching, Excel processes, and human-driven calculations. It works - but it doesn’t scale, it’s slow, and it’s time-consuming.

We need you to turn this into an intelligent, automated AI system, capable of reasoning, validating, matching and running calculations without human prompting.

Your experience in agentic AI, LLM-based automation, Python engineering, and end-to-end build work is exactly what will enable us to replace a manual workflow with a robust, smart, production-ready tool.

The impact you’ll make

You will:

• Use your Python skills to build an AI-driven automation tool that replaces manual data matching and spreadsheet workflows
• Use agentic AI and LLM-based reasoning to create autonomous workflows
• Design, prototype, iterate and ship - end-to-end
• Collaborate directly with a Head of AI who values independence and technical depth
• Bring engineering discipline to a greenfield automation project
• Create something the entire business will rely on daily

Why this role is different

• Massive autonomy - you’re not one of 20 engineers; your work is the work
• Greenfield build - no Legacy code to untangle
• Direct access to technical leadership
• Clear, valuable real-world use case
• Hybrid flexibility after the first month

If you enjoy creating intelligent systems that make people’s working lives easier - and you want the satisfaction of building something new from scratch - is this a role worth exploring?

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.

Agentic AI Engineer (LangChain LangGraph RAG LLM) London / WFH to £90k

Do you want to work on cutting edge AI technology being used in the real world?

You could be progressing your career as an Agentic AI Engineer at a successful and growing technology company that have recently received £40 million of series B funding.

The product enables business users to capture data via integrated mobile services utilising video analytics and speech recognition to analyse and categorise information within the workflows of large field workforces (surveyors, field engineers, health-and-safety, property sales, etc.); customers are typically large multinationals: utilities, telecoms, manufacturing and facilities management companies.

As an Agentic AI Engineer you’ll join a small cross functional team focussed on building the GenAI capabilities at the application layer, orchestrating decision making rather than training models. Typical use cases include video data extraction to analyse equipment details and observed health and safety issues to customer recommendations, for example triaging and dispatching personnel.

Responsibilities will encompass building and maintaining production LLM applications (prompt engineering, context design, guardrail development), development and optimisation of inference pipelines for accuracy, reliability and enterprise grade consistency and running evaluation workflows using automated tools (DeepEval, Langfuse) and human-in-the-loop review.

You’ll also support RAG and retrieval based features including vector databases and document processing pipelines. Collaborating with product and engineering team you’ll help to define use cases, set KPIs and ship AI features whilst providing subject matter expertise to both technical and non-technical stakeholders on GenAI capabilities and responsible adoption.

Location / WFH:

You can work from home / remotely form anywhere in the UK.

Please note you must be in the UK and able to work without requiring via sponsorship.

About you:

You are degree educated in Computer Science or similar STEM discipline, having achieved a 2.1 or above from a top tier university (e.g. Russel Group)

You have strong Python skills

You have experience with LLM orchestration frameworks: LangChain, LangGraph, CrewAi, AgnosAI

You have experience with vector databases: Pinecone, Weaviate and retrieval optimisation: OpenSearch, FAISS, Chroma

You have LLM evaluation experience: DeepEval, Langfuse (or similar)

You have a strong understanding of responsible AI, i.e. bias detection, model transparency

You’re collaborative and pragmatic with great communication skills

What’s in it for you:

Salary to £90k

Remote working plus flexible, family friendly working hours

Stock ownership plan

Private Healthcare

Pension

Apply now to find out more about this Agentic AI Engineer (LangChain LangGraph RAG LLM) 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.

TPBN1_UKTJ

About the Company

We’re working with an independent, full-service Market Research agency with expertise working both in the UK and globally. They offer both qualitative and quantitative research to drive deep consumer understanding to help develop innovation, communication and brand strategy. Clients include leading names in the FMCG, healthcare, leisure, food & drink and beauty sectors.

They are looking for a talented Qualitative Research Manager to work on varied and meaningful projects with supportive colleagues who value different viewpoints and skill sets.

About the Role

The Qualitative Research Manager is involved in the whole project lifecycle alongside other team members from project briefings and writing proposals, fieldwork management and moderation through to playing a key role in debrief writing and presentations.

Detailed responsibilities include:

• Client Collaboration: You will collaborate with clients to understand their business challenges and research objectives, and be confident, reliable key point of contact.
• Research Design: Shaping and designing research studies, including discussion / task guides
• Project Management: Competently managing project timelines, liaising with external suppliers and taking responsibility for project finances.
• Research Execution: Moderating English-language groups, depths and online communities; viewing and managing fieldwork in other languages.
• Reporting & Storytelling: You will develop insightful reports and presentations that tell compelling stories based on qual data.
• Presenting: Playing a key role in presenting findings and recommendations to clients, and fielding questions
• Business Development: You will contribute to business development efforts by playing a role in proposals, pitches and ongoing client relationship building.

About You

To be considered for this Qualitative Research Manager role you will need:

• 3-4 years of experience in qualitative market research, ideally within an agency environment
• Demonstrably strong, practical qualitative project management experience
• The ability to take responsibility for client relationship building and client handling of smaller accounts / shared responsibility in bigger accounts
• Confidence in focus group moderation, able to take on group or depth interview fieldwork unobserved and ready for client-viewed moderation
• The ability to deliver impactful deliverables (reports, debriefs) that align with client objectives
• To be a confident, engaging presenter of outputs to clients
• Familiarity with AI-powered research tools, with the capability to leverage AI and machine learning for tasks like data analysis, trend prediction, and automating research processes
• Based within commuting distance from either their central Leeds or London (Old Street) office. (They work on a hybrid model, with at least 2 days in the office per week)

If you are looking to work in an environment which invests in their people through mentoring, structured learning opportunities, and access to training that helps you develop both your research expertise and leadership skills, this is the role for you! Whether you want to deepen your qualitative craft, explore new methods, or grow into more strategic roles, our client aims to provide the environment and opportunities to help you progress. We look forward to seeing your CV very soon!

Senior Applied AI Engineer, Fianance

London - hybrid (2-3 days in office)

£130-160k, plus performance bonus

A leading growth equity firm investing in enterprise technology businesses across the UK and Europe is hiring a Senior Applied AI Engineer - an elite, hands-on developer who will play a foundational role in shaping how AI is used across the investment lifecycle.

As the sole AI Engineer, you will have responsibility for E2E delivery (yes, including all development + implementation), and the chance to build from a blank slate, shaping the firms AI capability, including sourcing, research, diligence, and workflows.

Importantly, you will have worked in high-context environments where engineers work directly with end users to deliver real-world AI systems - define the technical stack, set the roadmap, and own the end-to-end delivery of internal AI systems.

This is a highly autonomous architect-led role with significant responsibility and the freedom to experiment, iterate, and drive impact quickly. Youll move fluidly between rapid prototyping and production rigor, applying technical creativity to commercial decision-making.

More on the role: Build internal AI-powered tools, systems and agents to streamline sourcing, research, diligence, and portfolio monitoring

Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling

Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components

Integrate third-party APIs, datasets, scraping frameworks, and internal systems such as CRM and deal flow platforms

Rapidly prototype MVPs, validate value with the investment team, and harden the most impactful tools into reliable internal products

Build simple internal interfaces using FastAPI, Streamlit, or Next.js to enable intuitive adoption

Implement evaluation, observability, and governance to ensure accuracy, reliability, security, and responsible use of AI systems

Guide and coach the investment team on the latest tools, processes

Skills and Experience: 5+ years in applied AI engineering, ML engineering, or forward deployed roles

Strong Python

Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.)

Deep familiarity with RAG methodologies, embeddings, and vector databases (Pinecone, Weaviate, pgvector)

Robust API integration experience, including working with third-party datasets, web APIs, or scrapers

A product mindset, enjoys crafting scrappy prototypes that evolve into polished tools

Strong communication skills and the ability to collaborate directly with non-technical business users

Exposure to finance, enterprise data tooling, or B2B SaaS analytics is a bonus

The Senior AI Engineer will thrive in real-world environs where delivery is all - settings where you work directly with end users, navigate ambiguous or evolving requirements, and need to understand the commercial context as deeply as the technical one.

It is envisaged that over time the role could evolve, albeit in a small way, to include an element of trusted advisor / thought partner (i.e. for portfolio company / prospective investee company CEOs etc).

TPBN1_UKTJ

About the Company

We’re representing a London-based award-winning survey and data delivery agency that provide state of the art data capture, delivery and dashboard/visualisation solutions for the market research industry. They are looking to add a detail-oriented Data Processor to their busy Data Processing Team, known for the quality of their data, and who are responsible for ensuring data processing runs seamlessly and tabulations and data are delivered on time to their clients.

About the Role

The role is focused on producing accurate and quality data from surveys and requires a strong attention to detail and the ability to work with large-scale data sets. The DP team primarily use Unicom Quantum software, as well as Unicom Dimensions and SPSS. Full training of all software and programs will be provided.

Key responsibilities include:

• Support the Data Processing team to ensure the quality and timely delivery of data across online and telephone studies;
• Confidently use software, such as Quantum and SPSS, once training has been provided;
• Ensure data protection policies are followed in line with GDPR.

This is a hybrid role: there will be a requirement to travel to their London office, initially more frequently for training and thereafter, once or twice a week.

About You

The successful candidate for the Data Processor role must have:

• Proven experience in data processing within a market research agency environment;
• Proficiency in Excel including V look ups, data manipulation, formatting data etc;
• Proficiency in SPSS would be highly beneficial;
• Excellent attention to detail, consistently delivering work to the highest quality to required deadlines;
• Excellent time management skills (with the ability to work on multiple projects at once);
• Great interpersonal, written and verbal communication skills;

Full on-the-job and software training will be provided

Why you’ll love it there

This agency has a real buzz as they continue to grow. They reward people who help to drive that growth and support and encourage new ideas which will add value. They want you to be yourself and provide you with an encouraging and supportive environment to allow you to grow and develop too. They offer 25 days holiday (plus your birthday off if it falls during the contract period), 5% employer pension contributions, critical life insurance, private medical health insurance and other non-contractual benefits such as volunteering leave, financial advice sessions and an annual wellbeing allowance.

Salary for this role: 35-40k along with all the other benefits listed above.

We look forward to seeing your CV to be considered for this role!

JOB- AI Engineer

LOCATION- London (Hybrid 2 days per week in the office)

TERM- Permanent

SALARY- £70,000 to £100,000 per annum (plus benefits)

My client is an innovative fintech company developing intelligent, data-driven products to improve financial services and decision-making. They are looking to expand their technology team by hiring an AI Engineer to work on building and deploying machine learning and AI-powered solutions from their London office.

The AI Engineer will ideally have the following attributes:

Knowledge / experience in Artificial Intelligence, Machine Learning, or Data Science

A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Artificial Intelligence, Mathematics, Data Science or similar

Strong programming skills in Python

Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn

Experience working with large datasets and building data pipelines

Knowledge of cloud platforms such as AWS, GCP, or Azure

Experience developing and deploying AI/ML models into production environments

Understanding of APIs, microservices, and modern software development practices

Ability to work both independently and as part of a collaborative engineering team

Excellent communication skills (both verbal and written)

Keen to develop technically and grow within a fast-paced fintech environment

The AI Engineer role will involve:

Working within the existing engineering and data teams to develop AI-driven products

Designing, building, and deploying machine learning models

Developing data pipelines and preparing datasets for model training

Optimising model performance and monitoring production systems

Collaborating with software engineers to integrate AI solutions into applications

Researching and implementing new AI techniques to improve product capabilities

If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.

TPBN1_UKTJ

Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. We Get You Hired Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Senior AI Engineer London - hybrid (2-3 days in office) £160-175k, plus performance bonus A leading growth equity firm investing in enterprise technology businesses across the UK and Europe is hiring a Senior AI Engineer - an elite, hands-on developer who will play a foundational role in shaping how AI is used across the investment lifecycle. As the sole AI Engineer, you will have responsibility for E2E delivery (yes, including all development + implementation), and the chance to build from a blank slate, shaping the firms AI capability, including sourcing, research, diligence, and workflows. Importantly, you will have worked in high-context environments where engineers work directly with end users to deliver real-world AI systems - define the technical stack, set the roadmap, and own the end-to-end delivery of internal AI systems. This is a highly autonomous architect-led role with significant responsibility and the freedom to experiment, iterate, and drive impact quickly. Youll move fluidly between rapid prototyping and production rigor, applying technical creativity to commercial decision-making. More on the role: Build internal AI-powered tools, systems and agents to streamline sourcing, research, diligence, and portfolio monitoring Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components Integrate third-party APIs, datasets, scraping frameworks, and internal systems such as CRM and deal flow platforms Rapidly prototype MVPs, validate value with the investment team, and harden the most impactful tools into reliable internal products Build simple internal interfaces using FastAPI, Streamlit, or Next.js to enable intuitive adoption Implement evaluation, observability, and governance to ensure accuracy, reliability, security, and responsible use of AI systems Guide and coach the investment team on the latest tools, processes Skills and Experience: 7+ years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases (Pinecone, Weaviate, pgvector) Robust API integration experience, including working with third-party datasets, web APIs, or scrapers A product mindset, enjoys crafting scrappy prototypes that evolve into polished tools Strong communication skills and the ability to collaborate directly with non-technical business users Exposure to finance, enterprise data tooling, or B2B SaaS analytics is a bonus The Senior AI Engineer will thrive in real-world environs where delivery is all - settings where you work directly with end users, navigate ambiguous or evolving requirements, and need to understand the commercial context as deeply as the technical one. It is envisaged that over time the role could evolve, albeit in a small way, to include an element of trusted advisor / thought partner (i.e. for portfolio company / prospective investee company CEOs etc). TPBN1\_UKTJ

Location: Erskine, Scotland - Hybrid Candidates must be eligible for clearance Were looking for a talented and motivated Machine Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career in AI/ML, work on meaningful projects, and thrive in a supportive, collaborative environment. What Youll Do: Design, develop, and deploy machine learning models using modern frameworks and libraries. Collaborate closely with data scientists, engineers, and stakeholders to turn ideas into impactful solutions. Optimize and deploy models with tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate ML solutions into production environments. Monitor and improve model performance to ensure accuracy and efficiency. Contribute to team knowledge by mentoring and supporting colleagues. Bring creativity and fresh perspectives to problem-solving and technical solutions. What Were Looking For: We welcome applications from women who are passionate about machine learning and eager to grow: Strong Python skills and experience with ML libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch). Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe). Experience with ML lifecycle tools (MLflow, Kubeflow, Azure ML Pipelines). Knowledge of distributed data processing (PySpark) and software engineering principles (Git). A collaborative mindset and excellent problem-solving abilities. Experience in data cleansing, exploratory data analysis, and visualisation. A continuous learning mindset and interest in emerging AI/ML technologies. Why Join Us? Work on impactful AI projects with real-world applications. Be part of a collaborative and forward-thinking team. Access to continuous learning and development opportunities. Flexible working arrangements and a supportive work culture. TPBN1\_UKTJ

Senior 3D Mapping Engineer (Large-Scale 3D/HD Mapping) - First Key Hire
Circa £80k+, London based

An opportunity to take ownership of the mapping capability inside an advanced autonomy start up building real-world robotic systems.

This role sits at the heart of the autonomy stack. The focus is the creation of high-accuracy, reusable 3D / HD maps that support reliable deployment across complex environments. As the first dedicated mapping hire, responsibility sits with you to evolve the mapping architecture, deepen the mathematical foundations behind it, and ensure the maps produced are stable, scalable and production ready.

Working closely with perception, localisation and navigation engineers, the goal is to turn raw multi-sensor data into precise, reusable map products that can be versioned, updated and deployed across fleets. Over time, this role will naturally grow into leading and building the mapping team.

What you’ll be doing

* Designing and evolving scalable LiDAR and vision-based mapping pipelines.
* Creating high-fidelity 3D / HD maps suitable for repeated autonomous deployments.
* Building robust spatial representations including occupancy grids, vector maps, semantic layers and environment models.
* Applying optimisation techniques such as factor graphs, bundle adjustment and pose graph optimisation to maintain global consistency.
* Leading multi-sensor fusion across LiDAR, cameras, radar, GNSS/INS and odometry.
* Developing large-scale capabilities including multi-session mapping, map versioning, delta updates and fleet workflows.
* Ensuring tight coupling between mapping, SLAM and localisation to guarantee drift-free operation.
* Defining accuracy, consistency and validation frameworks for deployed maps.

Experience required

* MSc or PhD in Robotics, Computer Vision, Computer Science, Mathematics or a related field.
* 4-5+ years building mapping systems for robotics or autonomous platforms operating in real-world environments.
* Proven experience creating high-accuracy 3D / HD maps designed for reuse across deployments, not just one-off mapping or research prototypes.
* Strong understanding of the mathematical foundations behind mapping, including pose graphs, factor graphs, bundle adjustment and probabilistic estimation.
* Deep experience working with LiDAR and large-scale point cloud processing (PCL, Open3D or similar).
* Experience combining multiple sensor sources such as LiDAR, cameras, GNSS/INS and odometry to generate globally consistent maps.
* Strong C++ development with experience working in ROS2-based autonomy stacks.
* Solid grounding in geometry, coordinate frames, kinematics and transformation systems.

Why join

You’ll own a mission-critical capability inside a company deploying autonomy in the real world, shaping the mapping stack, influencing the wider autonomy architecture and building the team that will take it forward. An opportunity to define how mapping works in a real-world autonomy platform from the ground up.

Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python)

We are recruiting for an AI Engineer / Data & AI Scientist to join a high-impact programme building next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments.

This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks.

Key Responsibilities

• Design and build LLM-powered applications using Python and Generative AI frameworks
• Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows
• Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks
• Engineer scalable AI infrastructure across Azure and GCP environments
• Implement prompt engineering, model evaluation and LLMOps monitoring
• Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities

Required Skills

• Strong Python development experience
• Experience building production LLM or Generative AI applications
• Knowledge of RAG pipelines, prompt engineering and vector search
• Experience with agentic AI frameworks (LangGraph, CrewAI or similar)
• Exposure to LLMOps, model evaluation or monitoring
• Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP)

Desirable Experience

• Conversational AI or AI assistant platforms
• Multi-agent architectures
• Responsible AI, AI ethics or guardrail design
• Agile / Scrum environments

This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms.

Apply now to work on cutting-edge generative AI and LLM technologies.