Looking for an experienced Data Scientist to design, build, and optimise machine learning models and advanced analytics solutions that support institutional priorities across a large, complex network. The role blends hands-on data science with strategic impact, using AWS technologies to deliver predictive insights that drive proactive interventions and data-driven decision-making. This is a hybrid role with the expectation of working 2 days pw in the London office.

Skills and experience required:

• Bachelor’s degree in data science, Statistics, Computer Science, Mathematics, or similar
• Experience delivering predictive analytics or machine learning solutions
• Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow)
• Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift)
• Ability to clearly communicate insights to non-technical stakeholders
• Strong analytical thinking, collaboration skills, and a results-driven mindset

Role responsibilities:

• Build, tune, and maintain predictive and ML models using AWS SageMaker
• Analyse large datasets and perform feature engineering to improve model performance
• Run experiments, test hypotheses, and optimise models for accuracy and value
• Monitor model performance and manage retraining over time
• Collaborate with Data Engineers, BI Developers, and Analysts to integrate outputs into dashboards and reports
• Partner with academic, operational, and IT stakeholders to translate insights into action
• Document models and support knowledge sharing and scalability
• Contribute to the expansion of predictive analytics into advanced ML/AI use cases

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

Job Title: Gen AI Engineer
Location: Norwich, Norfolk
Job Type: Contract (Inside IR35)
Duration: 6 Months Job Summary:
Our client is seeking a skilled and innovative Generative AI Engineer to join our AI/ML team. In this role, you will design, develop, and deploy cutting-edge generative models-including LLMs, diffusion models, and GANs-to solve real-world problems and enhance product offerings. You will collaborate with cross-functional teams to integrate advanced AI capabilities into scalable applications, driving impactful innovation within a purpose-led global organisation. Key Responsibilities:

• Design and implement generative models using state-of-the-art architectures (e.g., GPT, DALL E, Stable Diffusion).
• Fine-tune and optimize large language models (LLMs) for specific tasks and domains.
• Build pipelines for data preprocessing, model training, evaluation, and deployment.
• Collaborate with product, design, and engineering teams to integrate AI features into products.
• Conduct research and stay up to date with the latest advancements in generative AI.
• Ensure ethical and responsible AI development, including bias mitigation and safety evaluations.

Essential Skills, Experience, and Abilities:

• Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
• Solid understanding of deep learning, NLP, and generative modeling techniques.
• Experience with training and fine-tuning large-scale models.
• Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools.

One of our global clients is looking for a Research Engineer based in London- 3 days to office.

If you are available and interested in this opportunity, please reply with your latest CV and best available time to discuss this. Below is the job specs for your reference.

Job Title: Research Engineer

Location: London (3 days a week to office)

Duration: 6 months contract

Responsibilities:

• Carry out cutting-edge research to advance the science and technology of machine learning systems.
• Design methods, tools, and infrastructure to push forward the state of the art in large language models.
• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
• Suggest, collect and synthesize requirements and create an effective feature roadmap.
• Code deliverables in Tandem with the engineering team.
• Publish research results and contribute to research that impacts client’s product development.

Minimum Qualifications

• 2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
• Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post-training.
• Programming experience in Python and hands-on experience with frameworks such as PyTorch.
• Experience writing software and executing complex experiments involving large AI models and datasets.
• Proven experience to translate insights into business recommendations
• Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications

• Direct experience in generative AI and LLM research
• PhD degree or research focused master’s degree in ML areas

Software Engineer – Near Cambridge

My client, a fast-growing AI company based near Cambridge, is seeking talented Software Engineers to join a small but rapidly expanding development team. This is an opportunity to work on a wide variety of projects—from early-stage prototypes to fully developed products- helping to create new technologies that solve complex, real-world challenges.

This is a hands-on role offering autonomy, responsibility, and exposure to diverse technical domains across the full R&D lifecycle.

Key Responsibilities

Designing and developing software for both prototype systems and production-ready products

Working across multiple projects concurrently and adapting to varied technical challenges

Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components

Rapidly learning and applying new technologies

Contributing to problem-solving throughout the development process

Supporting software used to control hardware platforms, sensors, or custom devices

Requirements

Strong academic background (2:1 or above) in a STEM discipline

(Computer Science, Mathematics, Physics, Engineering, etc.)

Demonstrated ability to tackle difficult or ambiguous technical problems

Ability to work independently with minimal supervision

Willingness and ability to learn new tools, languages, and technologies quickly

Working knowledge of Python

Desirable (Not Essential)

Experience interfacing software with hardware or embedded systems

Familiarity with computer networking

Experience with deep-learning frameworks (TensorFlow, PyTorch)

Understanding of machine learning, statistics, optimisation, or algorithm development

Experience developing mobile applications (iOS and/or Android)

Suitable for both graduates and experienced engineers with strong problem-solving skills and a desire to learn.

Role Details

Location: Near Cambridge

Working Pattern: Onsite, 5 days a week

Eligibility: Full UK work rights required (no sponsorship available)

Opportunity: Work across the entire prototype-to-product lifecycle in a fast-paced R&D environment

Interested? Please Click Apply Now!

Software Engineer - Near Cambridge

Contract Role - AI Research Software Engineer - London/Hybrid - 06 months - Inside IR35 PAYE

We are seeking a skilled AI Research Software Engineer passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale.

Role Overview:
* Job Title: AI Research Software Engineer
* Location: London/Hybrid (3 days onsite)
* Contract Type: Contract
* Duration: 06 months

Responsibilities
* Carry out cutting-edge research to advance the science and technology of machine learning systems.
* Design methods, tools, and infrastructure to push forward the state of the art in large language models.
* Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
* Suggest, collect and synthesize requirements and create an effective feature roadmap.
* Code deliverables in Tandem with the engineering team.
* Publish research results and contribute to research that impacts company product development.

Minimum Qualifications
* 2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
* Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post-training.
* Programming experience in Python and hands-on experience with frameworks such as PyTorch.
* Experience writing software and executing complex experiments involving large AI models and datasets.
* Proven experience to translate insights into business recommendations
* Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications
* Direct experience in generative AI and LLM research
* PhD degree or research focused Master degree in ML areas

Please feel free to contact myself - Daisy Nguyen at Gibbs Consulting/Atrium UK for a confidential chat to know more details about the role.

Please also note: Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.

Computer Vision Engineer - Near Cambridge

My Client is a specialist technology company scaling a real-time AI platform and is seeking a Computer Vision Engineers to own model deployment and optimisation in production environments.

Hands-on role focused on real-time computer vision, optimising models and video pipelines under performance and latency constraints. Close collaboration with systems engineers.

Essential Skills & Experience

Strong Python experience for ML and inference workflows

Hands-on experience with PyTorch

Solid grounding in computer vision fundamentals (object detection, tracking, classification)

Experience deploying models into production environments

Practical experience with video processing frameworks (e.g. GStreamer, FFmpeg)

Experience optimising inference performance on GPU or edge platforms

Desirable Experience

Edge AI or embedded GPU platforms

Real-time or multi-stream video pipelines

TensorRT, ONNX, or similar optimisation toolchains

Linux-based development environments

Containerised ML or inference deployments

Experience balancing model accuracy vs. inference speed in constrained environments

Profile Sought

Engineer who remains hands-on with models and code

Comfortable working outside of pure research environments

Pragmatic problem-solver who understands production trade-offs

Enjoys debugging complex, real-world systems

Clear communicator who documents work effectively

Interested? Please Click Apply Now!

Computer Vision Engineer - Near Cambridge

Software Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking talented Software Engineers to join a small but rapidly expanding development team. This is an opportunity to work on a wide variety of projectsfrom early-stage prototypes to fully developed products- helping to create new technologies that solve complex, real-world challenges.

This is a hands-on role offering autonomy, responsibility, and exposure to diverse technical domains across the full R&D lifecycle.

Key Responsibilities Designing and developing software for both prototype systems and production-ready products

Working across multiple projects concurrently and adapting to varied technical challenges

Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components

Rapidly learning and applying new technologies

Contributing to problem-solving throughout the development process

Supporting software used to control hardware platforms, sensors, or custom devices

Requirements Strong academic background (2:1 or above) in a STEM discipline

(Computer Science, Mathematics, Physics, Engineering, etc.)

Demonstrated ability to tackle difficult or ambiguous technical problems

Ability to work independently with minimal supervision

Willingness and ability to learn new tools, languages, and technologies quickly

Working knowledge of Python

Desirable (Not Essential) Experience interfacing software with hardware or embedded systems

Familiarity with computer networking

Experience with deep-learning frameworks (TensorFlow, PyTorch)

Understanding of machine learning, statistics, optimisation, or algorithm development

Experience developing mobile applications (iOS and/or Android)

Suitable for both graduates and experienced engineers with strong problem-solving skills and a desire to learn.

Role Details Location:Near Cambridge

Working Pattern: Onsite, 5 days a week

Eligibility: Full UK work rights required (no sponsorship available)

Opportunity: Work across the entire prototype-to-product lifecycle in a fast-paced R&D environment

Interested? Please Click Apply Now!Software Engineer - Near Cambridge

TPBN1_UKTJ

Software Engineer Near Cambridge

My client, a fast-growing AI company based near Cambridge, is seeking talented Software Engineers to join a small but rapidly expanding development team. This is an opportunity to work on a wide variety of projects from early-stage prototypes to fully developed products- helping to create new technologies that solve complex, real-world challenges.

This is a hands-on role offering autonomy, responsibility, and exposure to diverse technical domains across the full R&D lifecycle.

Key Responsibilities

• Designing and developing software for both prototype systems and production-ready products
• Working across multiple projects concurrently and adapting to varied technical challenges
• Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components
• Rapidly learning and applying new technologies
• Contributing to problem-solving throughout the development process
• Supporting software used to control hardware platforms, sensors, or custom devices

Requirements

• Strong academic background (2:1 or above) in a STEM discipline
• (Computer Science, Mathematics, Physics, Engineering, etc.)
• Demonstrated ability to tackle difficult or ambiguous technical problems
• Ability to work independently with minimal supervision
• Willingness and ability to learn new tools, languages, and technologies quickly
• Working knowledge of Python

Desirable (Not Essential)

• Experience interfacing software with hardware or embedded systems
• Familiarity with computer networking
• Experience with deep-learning frameworks (TensorFlow, PyTorch)
• Understanding of machine learning, statistics, optimisation, or algorithm development
• Experience developing mobile applications (iOS and/or Android)

Suitable for both graduates and experienced engineers with strong problem-solving skills and a desire to learn.

Role Details

• Location: Near Cambridge
• Working Pattern: Onsite, 5 days a week
• Eligibility: Full UK work rights required (no sponsorship available)
• Opportunity: Work across the entire prototype-to-product lifecycle in a fast-paced R&D environment

Interested? Please Click Apply Now! Software Engineer - Near Cambridge

Senior RF Data Scientist / Research Engineer Near Cambridge

My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies.

You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardware software systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments.

Key Responsibilities

• Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features
• Building diagnostic RF analysis tools (time frequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.)
• Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter)
• Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy
• Developing ML and statistical models for RF classification, anomaly detection, and emitter identification
• Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends
• Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters

Requirements

• Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch)
• Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling)
• Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR
• Practical understanding of RF hardware chains (antenna filters mixers ADC) and their impact on baseband data
• Experience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures
• Comfortable debugging SDR setups and performing field-based RF data collection
• Strong communication skills and ability to work effectively within an iterative R&D team

Desirable

• Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators)
• Experience in passive radar, beamforming, TDoA, Doppler, or direction finding
• Familiarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.)
• Programming experience in MATLAB, C++, Rust, or similar languages
• Knowledge of RF circuit principles (impedance matching, filter design, gain budgeting)
• Experience designing or testing antenna arrays for sensing/detection
• Publications, patents, or open-source RF/ML contributions

Role Details

• Location: Cambridge area (onsite or hybrid depending on project needs)
• Department: Research & Prototyping Team
• Impact: Direct involvement in early-stage hardware software product development

Interested? Please Click Apply Now! Senior RF Data Scientist / Research Engineer Near Cambridge

Computer Vision Engineer - Near Cambridge

My Client is a specialist technology company scaling a real-time AI platform and is seeking a Computer Vision Engineers to own model deployment and optimisation in production environments.

Hands-on role focused on real-time computer vision, optimising models and video pipelines under performance and latency constraints. Close collaboration with systems engineers.

Essential Skills & Experience

• Strong Python experience for ML and inference workflows
• Hands-on experience with PyTorch
• Solid grounding in computer vision fundamentals (object detection, tracking, classification)
• Experience deploying models into production environments
• Practical experience with video processing frameworks (e.g. GStreamer, FFmpeg)
• Experience optimising inference performance on GPU or edge platforms

Desirable Experience

• Edge AI or embedded GPU platforms
• Real-time or multi-stream video pipelines
• TensorRT, ONNX, or similar optimisation toolchains
• Linux-based development environments
• Containerised ML or inference deployments
• Experience balancing model accuracy vs. inference speed in constrained environments

Profile Sought

• Engineer who remains hands-on with models and code
• Comfortable working outside of pure research environments
• Pragmatic problem-solver who understands production trade-offs
• Enjoys debugging complex, real-world systems
• Clear communicator who documents work effectively

Interested? Please Click Apply Now! Computer Vision Engineer - Near Cambridge

Senior AI/ML Engineer Shaping AI for individuals and business London (Hybrid, 3 days/week) Up to £120k + 10% bonus + £20k equity

We’re building AI that actually matters. AI is at the centre of every business, what you’re working on is HOW it’s used powering personalised apprenticeship learning at scale for some of the world’s most ambitious organisations and individuals looking to better themselves. As a Senior AI/ML Engineer at Multiverse, you won’t just ship models. You’ll own the full lifecycle, influence our product roadmap, and leave a tangible mark on how people develop their careers.

This is a role for someone who’s done real AI work inside a high-calibre engineering organisation and worked closely with product.

What you’ll do Design and deploy LLM/RAG systems (GPT, Claude, Gemini) powering content generation, semantic search, and personalised learning experiences

Build Knowledge Graph capabilities to underpin agentic workflows

Own the end-to-end ML lifecycle from raw data and experimentation through to production deployment and continuous evaluation

Lead MLOps infrastructure on AWS , building robust pipelines for training, monitoring, and retraining

Bridge technical AI work with business strategy you’ll have a seat at the table when product direction is set

Enable and upskill colleagues across the organisation, making AI tangible and accessible

What we’re looking for You’ve built and deployed ML/LLM systems in production. Not just fine-tuned a model in a notebook you’ve taken it to real users, measured it, and iterated.

You’ve done this inside organisations that take engineering seriously. Whether that’s a top-tier tech company, a defence/intelligence-grade AI startup, or a fast-scaling data-led business you know what good looks like and you hold yourself to it.

Your foundations are strong. A degree in Computer Science, AI, or a closely related field from a leading university is a great indicator, though it’s your depth of applied expertise that matters most.

Technically, you bring:

Python fluency (NumPy, Pandas, Scikit-Learn, PyTorch) and solid TypeScript/API skills

Hands-on experience with LLMs prompt engineering, evaluation, RAG architectures, safety considerations

Cloud-native development on AWS and practical MLOps: CI/CD for models, version control, observability, retraining pipelines

Familiarity with LangChain, Terraform, and modern AI tooling (Cursor, Gemini) is a strong plus

Experience with both structured and unstructured data, including preprocessing and feature engineering

Stack: Python PyTorch LangChain AWS SQL Terraform CI/CD MLOps

Base salary: Up to £120,000

Bonus: 10%

Equity: worth £20,000

Flexibility: Hybrid (3 days London office) + 10 days work-from-anywhere per year

Interview process 3 stages. Straightforward, respectful of your time.

TPBN1_UKTJ

Head of AI & Data - Chief Data Office

London - Hybrid | £140,000 - £150,000 + up to 45% bonus + 15% car allowance

VIQU is recruiting a Head of AI & Data to build and lead the UK AI capability from the ground up. This is a hands-on, strategic leadership role within the Chief Data Office, reporting into the Director and working closely with both UK and global stakeholders. The role offers the opportunity to define AI strategy, build a Centre of Excellence, and deliver impactful data-driven initiatives across the business.

Key Responsibilities

• Develop and execute the UK AI strategy, aligned with business and global priorities.
• Build and scale an AI team and Centre of Excellence, mentoring and growing talent.
• Lead the design, development, and deployment of machine learning models into production.
• Establish AI governance, standards, and ethical frameworks to ensure responsible AI adoption.
• Enable innovation through sandbox environments, tooling guidance, and accelerators.
• Influence and collaborate with senior stakeholders to translate AI into measurable business value.
• Drive data-centric AI initiatives, ensuring compliance and alignment with enterprise architecture.
• Collaborate with global AI teams to align strategy, frameworks, and best practices.

Key Requirements

• Current Head of AI, Head of Data Science, or Senior AI Lead ready to step up.
• Proven experience building and scaling AI/ML teams (0-10/0-15).
• Insurance experience
• Strong technical credibility in ML, AI, and enterprise platforms.
• Hands-on experience with Azure, Databricks, and ML tools (TensorFlow, PyTorch, Scikit-learn).
• Knowledge of Responsible AI, ethical frameworks, and compliance standards.
• Experience in insurance or regulated financial services preferred.
• Comfortable presenting to and influencing executives.
• Collaborative, adaptable, and able to navigate complex stakeholder environments.

To apply: Please reach out via LinkedIn to Phoebe Rees or apply via the VIQU website. Know someone suitable? You could earn up to £1,000 if your referral is successful (T&Cs apply).

Senior Machine Learning Engineer Cambridge to £90k

Do you have experience of solving real-world problems via Machine Learning techniques?

You could be progressing your career working on real-world problems within a highly successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning.

As a Senior Machine Learning Engineer you’ll build the ML capabilities that power the product, typically you’ll collaborate with the research team to productionise ideas that are ahead of the published literature, evaluating and integrating established methods or developing your own algorithms, ensuring reliability and maintainability within a complex, integrated codebase.

You’ll liaise with clients to understand engineering problems that the product can address and guide them through new ways of working as well as diagnosing complex issues to analyse if it’s a data quality issue, unexpected model behaviour, a configuration problem or a genuine bug.

You’ll be at the intersection of shaping product direction, balancing what ML researchers envision with what customers actually need and what is realistic to build and maintain in production.

Location / WFH:

You’ll join the team in Cambridge, ideally once a week (potentially once a month) with flexibility to work from home most of the time.

About you:

• You have strong theoretical and practical understanding of the foundations of Machine Learning with experience of applying these to solve real-world problems
• You have strong Python skills, including TensorFlow and PyTorch ML frameworks
• You enjoy solving complex problems proactively but know when to ask for help from domain experts, researchers and engineers
• You have strong foundations in probabilistic modelling (Gaussian processes, Bayesian methods, uncertainty quantification)
• You’re a confident communicator, comfortable liaising with clients

What’s in it for you:

• Competitive salary - to £90k
• Private Health Care
• Life Assurance
• Up to 6% employer pension contribution
• 25 days holiday

Apply now to find out more about this Senior Machine Learning Engineer 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.

An exciting opportunity for an RF-focused Data Scientist / Research Engineer to join a stealth-mode start-up developing novel UAV/detection systems. This role offers the chance to work at the cutting edge of RF hardware, software-defined radio, and intelligent signal processing helping shape the next generation of real-world RF sensing systems. This company is tackling some of the worlds most pressing challenges, founded by a team of exceptional Engineers who have already realised success with other ventures. The environment is one of deep tech innovation and collaborative problem solving. Location: Saffron Walden, UK primarily on-site due to the hands-on nature of the work (some hybrid flexibility may be considered depending on the individual and stage of development) Salary: Up to £65,000 per annum (may be more for an exceptional candidate) Requirements for RF Data Scientist / Research Engineer: Strong Python skills for data analysis and prototyping (e.g. NumPy, SciPy, matplotlib, PyTorch, scikit-learn) Excellent understanding of digital signal processing techniques including FFTs, resampling, modulation, and filtering Hands-on experience working with SDR platforms such as bladeRF, USRP, HackRF, or similar Practical knowledge of RF hardware chains (e.g. antennas, ADCs, filters, mixers, gain stages, LO, AGC) and how these impact signal data Experience building RF signal characterisation and diagnostics tools, e.g. constellation tracking, time-frequency plots, autocorrelation analysis Familiarity with tools such as GNU Radio, SDRangel, SoapySDR, ZMQ Understanding of wireless protocols and physical-layer signal structures (e.g. Wi-Fi, LTE, LoRa) Ability to design machine learning or statistical models for signal classification, anomaly detection or emitter identification MUST be eligible for SC Clearance due to the nature of the work Responsibilities for RF Data Scientist / Research Engineer: Analyse complex IQ data from SDR hardware in real-world RF environments Build signal processing pipelines that work within hardware and software constraints Develop tools to visualise and diagnose signal behaviour and system performance Prototype real-time and batch-processing architectures using Python and signal processing libraries Lead field-based data collection and over-the-air experiments using drones and wireless devices Collaborate with a multidisciplinary team to develop SDR-based detection and intelligence solutions Model and mitigate hardware-induced effects to improve signal fidelity and inference outcomes What this offers: An opportunity to shape an innovative product at the interface of RF and ML Work with an exceptional technical team in an early-stage R&D environment Deep technical variety across software-defined radio, machine learning, and signal intelligence Competitive package and future leadership potential Applications: If you would like to enquire about this unique RF Data Scientist / Research Engineer opportunity, we would love to hear from you. Please send an up-to-date CV including details of any online repositories via the relevant link. Were committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job board, full contact details are readily available on our website). RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists leaving academia and entering industry. Even if the above role isnt of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Keywords: RF Data Scientist / Research Engineer / RF Signal Processing / SDR Engineer / IQ Data Analysis / Software Defined Radio / bladeRF / USRP / HackRF / GNU Radio / RF DSP / Wireless Signal Intelligence / Digital Signal Processing Engineer / RF Python Developer / Python Signal Processing / RF Classification / Electromagnetic Signal Analysis / Wireless Spectrum Monitoring / Signal Intelligence / Drone Detection Systems / RF Machine Learning / RF System Modelling / RF Detection Engineer TPBN1\_UKTJ

Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you'll play a pivotal role in shaping analytical models that guide DVSA's future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You'll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: \* Employer pension contribution of 28.97% of your salary. \* 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King's birthday \* Flexible working options where we encourage a great work-life balance. Job description Your responsibilities will include, but aren't limited to: \* Conceptualising and developing high-impact data science solutions. \* Writing and reviewing code using best practices from software development. \* Further developing and maintaining existing risk and demand models. \* Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. \* Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. \* Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff. \* Explore and visualise data to uncover valuable insights \* Offer recommendations that solve complex problems and empower strategic and operational decision making \* Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most. We're looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you'll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: \* Developing and deploying AI and data science solutions to tackle business challenges at pace. \* Inferring, predicting or forecasting using appropriate machine learning techniques. \* Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. \* Quantitatively evaluating data science and AI solutions using novel designs and data sets. \* Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). \* Continually promoting professional development and sharing best practices. \* Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff. \* Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc). \* Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills) \* Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). \* A high level of competence in applied maths, statistics and scientific methods. \* Clear written and verbal communication. \* Ability to work autonomously on data science projects and as part of the team. To Apply If you feel you are a suitable candidate and would like to work for DVSA, please proceed through the following link to be redirected to our website to complete your application. https://www.civilservicejobs.service.gov.uk/csr/index.cgi?SID=dXNlcnNlYXJjaGNvbnRleHQ9MTc3OTA1MzUyJnNlYXJjaHBhZ2U9MSZqb2JsaXN0X3ZpZXdfdmFjPTE5OTAwODkmcGFnZWFjdGlvbj12aWV3dmFjYnlqb2JsaXN0Jm93bmVyPTUwNzAwMDAmc2VhcmNoc29ydD1jbG9zaW5nJm93bmVydHlwZT1mYWlyJnBhZ2VjbGFzcz1Kb2JzJnJlcXNpZz0xNzczMjI5MzU4LWY3YjRhMTZlZGE5MTUwMjRlMGMzNWQzNWI5NmMzMGQ2ZTNkYWY2ZGU=

Python Developer / Backend Software Engineer (Python R&D) Cambridge onsite to £55k

Would you like to work on Greenfield projects at the cutting edge of medical technology?

You could be joining a well funded start-up, collaborating with scientists and other engineers to develop sensing and imaging terahertz solutions.

As a Python Developer you’ll work on complex problems including image processing, machine learning, numerical simulation, user interfaces, databases, networking and interfacing with hardware. You’ll be using a Python based tech stack but with constantly evolving technology that you’ll be able to influence.

Location:

You’ll join a talented team based just north of Cambridge (with parking available), on a fulltime basis (with some flexibility).

About you:

You have strong backend software engineering experience with Python, including Python libraries such as PyTorch, NumPy

You have experience working with asynchronous, parallel or distributed systems

You have a good knowledge of at least one relational database e.g. SQL Server, Oracle

You have a good understanding of TDD, CI/CD practices and modern software engineering best practices

You have experience with embedded software and / or IoT

You are comfortable in an R&D environment

You have an interest and understanding of Machine Learning and AI

You are degree educated in a relevant STEM discipline

You’re collaborative, comfortable with Pair Programming and mentoring more junior engineers

Ideally also some of the following: Anaconda, Mamba, Poetry, C++, JavaScript, Haskell, OCaml, Rust

What’s in it for you:

As aPython Developer you will receive a competitive package:

Salary to £55k

Bonus

Healthcare

Pension

Continual learning and self development

Complex interesting work at the cutting edge of technology

Apply now to find out more about this Python Developer / Backend Software Engineer (Python R&D TDD) 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.

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SENIOR CLOUD ENGINEER / AI ENGINEER

FULLY REMOTE ( UK or EUROPE )

1,200 Euros per Day Rate

SECURE is working with a major AI & Cloud Solutions Partner to build out their European Professional Services Team. We are looking for a highly experienced Senior AI Engineer for an initial 6 Month Contract, starting ASAP. This isn’t a role for someone who just wants to build toy models in a sandbox. Youll be taking ownership of complex, Enterprise - Level AI Transformations getting Hands-On with the Engineering required to move Theoretical Models into robust, Production-Grade ML systems.

Role Overview:

You will be stepping in as the Technical Lead for Large - Scale Enterprise Client s across Europe. You’ll advise stakeholders on complex AI Implementations & Design the Data Pipelines that actually make Generative AI & Deep Learning Frameworks work in the real world.

Note : This is a Europe-Based role. You Must be Fluent in English . Bonus Points for those that speak both English & Spanish to work directly with Local Stakeholders.

Who Should Apply:

The ML Ops Veteran: Excellent Hands-On Experience building Distributed Machine Learning Pipelines & Production ML Systems at an Enterprise Scale.

The Client-Facing Engineer: You’re just as comfortable explaining complex ML Architectures to a Non-Technical executive in Spanish as you are writing Python .

Skills & Experience:

AI & ML Ops: Deep, Hands-On Experience with Vertex AI, ML Ops, AI for Document Processing, Gen AI & ADK.

Coding: Real Proficiency in one or more of these Languages: Python, Perl, C, C++ or Java.

Consulting: Strong Background in Technical Client Service or Consulting. You need to know how to Advise, not just Code.

What Makes You Stand Out ( Preferred Qualifications ) :

5 Years Minimum Experience building Recommendation Engines, Data Pipelines or Distributed Machine Learning

Strong Understanding of what it actually takes to run ML Systems in Production

Hands-On Experience with Deep Learning Frameworks (TensorFlow, PyTorch, XGBoost)

Deep Knowledge of Data Warehousing, ETL / ELT Architectures & Heavy Analytic Environments (Apache Beam, Hadoop, Spark, Hive)

Responsibilities:

Leading Customer-Facing AI Deployments across Europe, from the Initial Consulting Phase right through to the Live Implementation of Production ML Systems

Architecting & Optimising Scalable Data Pipelines, ETL/ELT Solutions & Distributed ML Environments (using Hadoop, Spark & Apache Beam).

Deploying Recommendation Engines & Deep Learning Models (TensorFlow, PyTorch) to solve specific Client Problems.

Running Technical Design Sessions, Tailoring ML Ops Architectures using Vertex AI & Gen AI.

Writing Automation-Focused Code needed to Streamline Document Processing AI and keep the analytic environment highly reliable.

Searches: ML Engineer / AI Engineer / Cloud Engineer / Machine Learning / Cloud AI / Google Cloud / GCP / Vertex AI / MLOps / ML Ops / AIOPs / AI Ops /

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Machine Learning Researcher (PhD Statistics Python AI R&D) Cambridge / WFH to £85k

Are you a tech savvy, PhD educated, Machine Learning Researcher looking for an opportunity to work on complex and interesting systems at the cutting edge of AI technology?

You could be progressing your career working on real-world problems within a high successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning.

As a Machine Learning Researcher you will work fairly independently, developing your own research programme, with a view to developing new tools and techniques for probabilistic models, Bayesian optimisation and related fields. You will actively engage in team collaborations to meet research goals and report your research findings both internally and externally.

You’ll use your research to contribute to product development and customer research projects as well as contributing to the company’s open source libraries.

Location / WFH:

You’ll join the team in Cambridge, ideally once a week (potentially once a month) with flexibility to work from home most of the time.

About you:

• You’re educated to PhD level in a relevant discipline i.e. Machine Learning, Deep Learning, Artificial Intelligence
• You have published at least two research papers on Machine Learning, Statistics or optimisation on NeurIPS, AISTATS, ICML (ICLR, AIAA, COLT, ECML, IEEE)
• You have experience of applying research to real-world problems
• You have an advanced knowledge of decision making techniques e.g. Bayesian optimisation, bandits, reinforcement learning, active learning and / or probabilistic modelling and methods e.g. Gaussian processes, Bayesian neural networks, Variational inference, etc.
• You have experience with Python numerical programming e.g. NumPy, TensorFlow, PyTorch
• Ideally you will have an interest in the automotive sector and sustainability

What’s in it for you:

• Competitive salary - to £85k
• Private Health Care
• Life Assurance
• Up to 6% employer pension contribution
• 25 days holiday
• Hybrid / remote working

Apply now to find out more about this Machine Learning Researcher (PhD Statistics Python AI R&D) 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.

Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading.

Salary: £44,241 per annum

Vacancy Type: Permanent

Closing date: Tuesday 31st March 2026

Do you thrive on curiosity, innovation and adaptability?

Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision?

Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm?

Are you committed to using data ethically and responsibly?

If this sounds like you, your next career move could be right here!

As a Senior Data Scientist, you ll play a pivotal role in shaping analytical models that guide DVSA s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools.

Joining our department comes with many benefits, including:

• Employer pension contribution of 28.97% of your salary.
• 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King s birthday
• Flexible working options where we encourage a great work-life balance.

Job description

Your responsibilities will include, but aren t limited to:

• Conceptualising and developing high-impact data science solutions.
• Writing and reviewing code using best practices from software development.
• Further developing and maintaining existing risk and demand models.
• Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python.
• Identify trends and patterns, turning them into actionable insights that support the development and improvement of services.
• Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff.
• Explore and visualise data to uncover valuable insights
• Offer recommendations that solve complex problems and empower strategic and operational decision making
• Uphold the highest standards of ethical and appropriate data use

Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most.

We re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you ll help shape and validate groundbreaking Innovation use cases.

Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public.

For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process.

Person specification

Required Experience:

• Developing and deploying AI and data science solutions to tackle business challenges at pace.
• Inferring, predicting or forecasting using appropriate machine learning techniques.
• Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation.
• Quantitatively evaluating data science and AI solutions using novel designs and data sets.
• Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP).
• Continually promoting professional development and sharing best practices.
• Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff.
• Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc).
• Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills)
• Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM).
• A high level of competence in applied maths, statistics and scientific methods.
• Clear written and verbal communication.
• Ability to work autonomously on data science projects and as part of the team.

To Apply

If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.

DigitalGenius is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest ecommerce customer service operations in the world, as well as high-growth companies. We’re a dedicated team of thoughtful and hard-working people committed to transforming customer service through the application of artificial intelligence. Role The continuous improvement of our products and the range of innovation projects we are committed to require us to scale our Machine Learning team. We are searching for a Machine Learning Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product’s performance for our customers. Your time will be divided between improving the core product, researching and developing new ML applications and working closely with our clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA research, data analysis, and developing scalable production services and infrastructure. Responsibilities - Proactive approach with team members and clients - Continuous improvement of core AI services - Take ownership of the services within your expertise - Contribute to the ongoing innovation R&D projects - Implement and maintain ML Infrastructure - Requirements - Degree in relevant field with 3+ years of industry experience - Strong Technical Skills: Python, Production APIs, Infrastructure as Code, - AWS or other Cloud provider - Deep understanding of Natural Language Processing / Generative AI / - Image Recognition - Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics. - Experience with MLOps - Excellent organisation skills, working independently and ability to deliver results for deadlines. - A proactive, innovative, pragmatic approach to problem-solving and an ability to think critically and objectively. - Good customer-facing skills and ability to communicate technical concepts to technical and non-technical audiences. - Experience in ecommerce space Benefits - Competitive Salary - Generous vacation time (25 days of annual leave) - Yearly "Reset Week" in addition to annual leave allowance - Freedom to experiment with your own ideas - Environment to develop your skills without bureaucracy or red tape - Monthly fitness stipend of $210 or fully paid Third Space Membership We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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.

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