£Up to £100,000 GBP
Transport Allowance
Onsite WORKING
Location: London; Manchester; Bristol, Manchester, North West - United Kingdom Type: Permanent

The Role - Data Architect (DV Cleared)
Join a consultancy recognised as a UK Great Place to Work year after year - a distinction that reflects its commitment to inclusion, technical excellence, and delivering transformative outcomes across complex, high-impact programmes.

Our client is a globally respected digital, data and technology consultancy, combining strategy, innovation, and advanced engineering to solve some of the most challenging business problems. With over 4,000 experts across sectors including health, government, defence, financial services, and transport, the client delivers end-to-end data and AI transformations at scale.

As a Data Architect, you will define and drive the blueprint for complex data platforms, helping clients translate strategic business needs into scalable, resilient, and secure solutions. You will work across cloud and multi-platform architectures, ensuring data governance, security, observability, and cost efficiency are embedded into every design.

The Data Architect role is based in a hybrid model, with a minimum of two days per week in the office or on client site, aligned to programme requirements.

Key Responsibilities - Data Architect
As a Data Architect, you will:

• Define end-to-end data architecture for complex programmes, including ingestion, orchestration, governance, security, cost-optimisation, and observability
• Architect and implement multi-cloud, data lake, and data warehouse platforms
• Design scalable data pipelines, integration workflows, and analytics solutions
• Apply ML/AI frameworks, semantic models, and BI/visualisation tools to solve client challenges
• Operate as a strategic and technical leader across client engagements, guiding engineering teams and shaping delivery
• Translate business requirements into technical solutions that are secure, resilient, and high-performing
• Collaborate with cross-disciplinary teams, mentoring junior colleagues and championing best practice
• Contribute to business growth through bid support, opportunity identification, and thought leadership
• Establish architectural vision and ensure adherence to delivery methodologies across projects

The Data Architect will operate at the intersection of strategy, technology, and client delivery, ensuring that data solutions are both innovative and operationally robust.

Key Requirements

• You must hold Active DV Clearance (UK Developed Vetting)
• Proven experience as a Data Architect leading complex data and AI transformations
• Hands-on experience designing scalable, multi-cloud data platforms
• Strong understanding of data architecture methodologies, governance, and security best practices
• Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent
• Experience with programming/scripting, data integration, ETL pipelines, and orchestration
• Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic data modelling
• Strong client-facing skills with the ability to translate business needs into technical solutions
• Leadership experience mentoring teams, promoting best practice, and driving delivery excellence
• Analytical thinking and problem-solving skills in complex, multi-stakeholder environments

Even if you don’t meet every requirement, applications are encouraged - the client hires across multiple levels within the Data Architect capability.

You Will Gain Exposure With

• Large-scale, multi-cloud data and AI transformation programmes
• Diverse projects across public and private sector clients
• Cross-disciplinary collaboration with strategists, engineers, designers, and technologists
• Architecting resilient, secure, and scalable platforms using the latest tools and technologies
• Structured learning budgets, certifications, and continuous professional development
• A collaborative, inclusive, and supportive technical community
• A clearly defined technical career track for ambitious Data Architects

Why Join?

• Join a consultancy consistently recognised as a top employer in the UK
• Work as a Data Architect shaping strategic data platforms and AI solutions
• Hybrid working model with flexibility aligned to client needs
• Access to private healthcare, generous pension, and performance bonus
• Share ownership opportunities
• Strong commitment to inclusion, equality, and diverse career progression
• Operate at the intersection of technical authority, client impact, and strategic leadership

This Data Architect opportunity offers the chance to influence large-scale data and AI transformations while developing deep technical expertise within a consultancy that combines engineering rigour with purpose-led, high-impact work.

Interested? Apply Now!
Or reach out directly to Aaron O’Neill | LinkedIn

Reference: AON/AMC/PGDataArchitect

#aaon

Senior Mapping Engineer (Large-Scale HD Mapping) - First Key Hire

Circa £80k+, London based

Want to work for an advanced start up building real-world autonomous systems? We’re looking for a highly skilled Senior Mapping Engineer to become the first dedicated mapping lead. This is a high-ownership role where you’ll take charge of the high-accuracy, large-scale mapping capability, set the technical roadmap, and grow and mentor a mapping team as deployments scale.

You’ll maintain and evolve an existing mapping codebase, enhancing accuracy, stability, and scalability across challenging industrial and autonomous environments. Working closely with perception, localization, and navigation, you’ll ensure themaps are drift-free, up-to-date, and deeply integrated into the autonomy stack-from raw sensor data to validated, deployed map products.

What you’ll do
* Own and advance scalable LiDAR- and vision-based mapping pipelines.
* Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models.
* Lead multi-sensor fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs.
* Deliver large-scale capabilities like multi-session mapping, fleet workflows, map versioning, delta updates, and distributed map generation.
* Maintain tight integration with SLAM/Localization to ensure stable, drift-free deployment performance.
* Define KPIs and validation frameworks for map accuracy, completeness, and consistency.
* Translate state-of-the-art research (SLAM, semantic mapping, multi-modal reconstruction) into production systems.
* Set best practices and technical standards to support future team growth.

Experience required
* MSc/PhD in Robotics, Computer Vision, Computer Science, or related field.
* 4-5+ years hands-on mapping experience in autonomous systems or robotics.
* Deep expertise in LiDAR/point-cloud processing (PCL, Open3D, custom pipelines).
* Strong background in vision-based mapping / visual SLAM and multi-sensor fusion.
* Proficiency in C++ with strong experience in ROS2.
* Solid grounding in estimation, optimization, geometry, kinematics, and TF2.

Why join
You’ll own a mission-critical autonomy capability, shape the map product and technical direction, work on live deployments, and step into a clear path to build and lead your own mapping team.

Senior Software Developer required by a successful software company developing enterprise web application products for the medical sector.

C# is the primary programming language used in the team. They utilise a language extension library to facilitate functional programming with C#.

Any knowledge with F#, Haskell, Scala or similar functional language is imperative for any application - even if this is via personal projects, It doesn’t need to be commercial experience.

The company has a fully remote working policy with no requirement to visit an office.

Essential experience:

Functional programming experience or a vested interest in functional programming even in personal projects

C#

Knowledge of one or more functional programming languages eg Scala, Haskell, F#

SQL

Experience in any of the following areas would be advantageous

Functional programming in C#

Language-ext

Domain driven design

Property-based testing

Domain specific languages

TypeScript

Healthcare or medical industry experience

If you are seeking a role of this nature, please get in touch for more information.

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

TPBN1_UKTJ

£70,000 to 100,000 GBP
Bonus
Hybrid WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent

Job Title: AI Security Engineer (GenAI Focus)
Location: London (Hybrid - 2 days per week onsite)
Salary: Flexible depending on experience + bonus

Job Overview
We are seeking an AI Security Engineer to design, implement, and maintain security solutions that protect complex systems and sensitive data, with a strong focus on GenAI and AI/ML platforms. This role works closely with data scientists, engineers, and security teams to ensure innovation is delivered securely and at scale.

This position is well suited to security professionals who want to transition into a GenAI-focused career path and develop deep expertise in securing AI/ML systems.

Key Responsibilities
Threat Analysis and Vulnerability Assessment

• Conduct regular threat modelling and vulnerability assessments across AI/ML systems, including data pipelines, model APIs, and GenAI services
• Develop tools, scripts, and benchmarks to automate AI/ML security testing
• Perform secure code reviews and penetration testing of AI-related software

Research and Development

• Research emerging threats, trends, and best practices in AI/ML security
• Deliver proof-of-concepts and proof-of-value initiatives to assess new technologies and controls
• Contribute to the development of advanced AI/ML security tools and techniques
• Produce high-quality technical documentation and user guidance

Security Engineering and Collaboration

• Provide subject matter expertise on security engineering patterns and controls
• Support secure software development practices aligned to OWASP and DevSecOps principles
• Collaborate with cross-functional engineering and security teams to align solutions with business and regulatory requirements
• Support audits, risk assessments, and control improvements across platforms

Required Technical Skills

• Strong programming and scripting skills in Python and Bash
• Strong knowledge of cloud technologies, specifically AWS and Azure
• Strong understanding of API development and API security
• Experience with threat modelling, penetration testing, and vulnerability assessments
• Familiarity with secure software development practices (OWASP, DevSecOps)
• Interest in or exposure to data science, AI, or ML systems

Required Soft Skills

• Strong analytical, research, and problem-solving skills
• Excellent written and verbal communication skills
• Ability to work effectively in cross-functional teams
• Comfortable advising stakeholders and contributing to security strategy and decision-making

Reference: AMC-AQU-AISEBBL

Postcode: EC2V 6AA

#adqu

About the Opportunity:
A leading UK engineering organisation is expanding its Real-Time Simulation & Experimentation capability and is seeking skilled engineers with strong C# or C++ experience in real-time, embedded, modelling, hardware-integrated or safety-critical environments.

This is not a web or IT development role. It is a hands-on engineering position that involves building simulation environments, integrating hardware, modelling system behaviours, and supporting real-world engineering activities across the full lifecycle.

Engineers from automotive, aerospace, rail, medical devices, robotics, industrial automation, energy, defence, or any other high-integrity engineering sectors will find their experience highly transferable.
What will you be working on?

You will join a multidisciplinary team creating real-time simulations and synthetic environments used to design, test, validate and train against complex engineered systems. Your work will include:

• Real-time simulation & modelling (SIL/HIL, behavioural modelling)
• Integration of hardware components with simulation frameworks
• Building C# and/or C++ components for system representation
• Developing digital twins and experimental test environments
• Designing tools to support verification, validation & training
• Creating visualisation and analysis tools for system behaviours

This is real engineering: modelling physics, behaviours, interfaces, and integrating hardware - not enterprise apps or websites.

Who We’re Looking For?
We are continuing to grow our software team across 2026 and welcome applicants from a broad range of engineering sectors, including:

• Automotive - ADAS, powertrain, embedded systems, real-time control
• Aerospace / Avionics - simulation, modelling, system testing
• Rail & Transportation - signalling, control, safety-critical systems
• Medical Devices - regulated software, embedded control
• Robotics & Automation - motion control, real-time behaviour
• Industrial / Manufacturing Automation - PLC, modelling, hardware integration
• Energy / Renewables - control systems, digital twins

If you’re an engineer who codes - not a web developer - this role is designed for you.
Essential Skills & Experience

• Strong experience with C# or C++ in engineering or real-time systems
• Background in real-time, embedded, simulation or hardware-connected software
• Experience with system modelling, system behaviour or control systems
• Exposure to SIL/HIL, digital twins, hardware integration or simulation frameworks
• Ability to produce robust, maintainable, well-tested code
• Comfortable working within Agile methods and multidisciplinary teams

Desirable Experience

• Experience in regulated or safety-critical environments (e.g., automotive, aerospace, medical, rail)
• CI/CD pipelines
• Understanding of system architectures and engineering principles
• Experience with distributed simulation, tools or test automation

What’s On Offer?
This company offers leading benefits including bonus, fantastic combined pension contribution, potential for paid over time, Enhanced parental & family leave and much more!

Security Requirements
Due to the nature of the projects, this role requires British Citizenship and the ability to undergo BPSS pre-employment checks, with additional security vetting where required.

Salary: £85,000 - £95,000 (Dependent on Experience)
Location: Hybrid Working (UK-based)

Our client is looking for a Senior AI Engineer to help shape and deliver the next generation of AI-driven solutions across their organisation.

This is a unique opportunity to join a business where AI is already Embedded in day-to-day operations, supporting hundreds of users through a growing portfolio of live use cases. You’ll build on this strong foundation to design, develop, and scale impactful solutions that solve real commercial challenges.

The successful candidate will take ownership of projects end-to-end - from understanding requirements and defining the technical approach, through to building, deploying, and measuring success in production. You’ll operate within a modern cloud and Generative AI ecosystem, working with cutting-edge tools to drive meaningful innovation at scale.

Key Responsibilities

• Help shape the AI roadmap across a range of use cases and technologies.
• Engage with stakeholders to understand processes, data, and identify high-value AI opportunities.
• Design, build, and deploy AI solutions into production environments.
• Collaborate with cross-functional teams including DevOps, data engineers, developers, testers, and InfoSec to deliver scalable services in AWS.
• Contribute to the ongoing evolution of AI delivery as part of a wider Data Science & AI capability.
• Provide technical guidance and mentorship to junior engineers, helping to raise engineering standards.

Skills & Experience Required

• Demonstrated experience delivering AI/ML solutions into production with measurable business impact.
• A proactive, self-starting mindset with the ability to take solutions from concept through to deployment.
• Strong focus on engineering and productionisation rather than pure research.
• Experience working within cloud environments (AWS preferred) and modern AI/GenAI tooling.
• Ability to balance rapid delivery with longer-term capability building.
• Confident communicator, able to engage effectively with both technical teams and senior stakeholders.
• Comfortable working independently, refining project briefs, and delivering high-quality outcomes on time.

Why This Role?

• Work on AI that is actively used and delivering value - not just experimental projects.
• Play a key role in scaling AI across a complex, real-world environment.
• Hybrid working model offering flexibility and balance.
• Opportunity to influence technical direction while remaining hands-on.
• Competitive salary and the chance to make a visible impact within a growing AI function.

If you’re an experienced AI Engineer looking to apply your expertise in a role where innovation meets real-world delivery, we’d love to hear from you.

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.

Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation

We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

£150,000 GBP

• performance bonus + internal fund investment
  Onsite WORKING
  Location: Central London, Greater London - United Kingdom Type: Permanent

My client is a stealth start-up Quant hedge fund founded by a Math Postdoc and advised by a Fields Medallist. They are aiming to launch next year and are currently hiring in Miami, London and Milan.

Description

– Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets.

– Required: experience training ML models end to end (from data processing to fine tuning), experience training across transformers / generative models / RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions / industry experiences.

– Positives but not requirement: PhD.

Reference: AMC/AHU/NW/SPH001

#alhu

Remote- UK 6-month contract with Potential Extension Day rate - £427.68 - £565 per day Inside IR35 Data Scientist (NLP & LLM Specialist) Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers. The Opportunity In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets. Your Impact Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML). NLP Expertise: 3-5 years of experience in Natural Language Processing. AI Knowledge: Familiarity with LangChain and LlamaIndex. The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch. Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting. Industry Knowledge: Experience with Risk Modeling or financial services is preferred.This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. pandey @ randstad. Co. uk Randstad Technologies is acting as an Employment Business in relation to this vacancy

Python / Machine Learning London – Hybrid Working £60,000-£65,000 I’m currently working with a global, hospitality tech-startup in London who are looking for a Software Engineer with experience in Python & Machine Learning to join their team on a hybrid basis! The company have been going since 2025, secured funding in November and have developed a niche technology aimed at serving the hospitality sector. They are looking to build an engineering team so this role takes on a founding engineer feel where you will be exposed to all areas of the SDLC from design to build to implementation. They are looking for experience mainly in Python but having skills in other languages or on the Frontend/Cloud would be really beneficial. They have also started utilising Machine Learning so having knowledge of AI, ML concepts would be hugely useful and grow into being a big part of the role They are based in Central London and are looking for people to work in the office 2 days a week. Technical Requirements 2-3 years development experience with Python. Have worked with additional languages – ideally Java or C++. Confident with Cloud technologies – AWS/Azure/GCP. Ideally have some Frontend experience but not essential – JavaScript/React. Have worked with AI/Machine Learning concepts – either at Uni or in role. Comfortable in a founding engineer setting where you’re responsible for wide range of areas. Happy in a start-up, fast paced environment where you have lots of room to grow. Enjoy working with high degree of autonomy within your role. Excellent communication skills and happy working with stakeholders. Salary: £60,000-£65,000. If this role sounds of interest, please apply and I can give you a call. Tim Stock (phone number removed) | (phone number removed) (url removed)

Junior Data Scientist Stealth AI Fintech Startup | London | Hybrid (3 days on-site) We’re hiring on behalf of an early stage AI fintech building a platform that is redefining how investors analyse, access, and manage alternative assets (private equity, private credit, and broader private markets). They’ve built their MVP, raised funding from experienced fintech founders and senior financial services operators, and are now scaling a product at the intersection of AI, automation, and investment workflows. We’re looking for a high-potential Junior Data Scientist who wants to build production AI systems - not just models in notebooks. The Role We’re seeking an Applied AI&Data Scientist who thrives in a hands-on, experimental environment. You’ll help design, build and deploy AI models that form the backbone of the investment intelligence platform, from data processing and model training to inference and automation workflows. This is ideal for someone who builds fast, iterates relentlessly, and learns even faster and has a genuine passion for AI frameworks, LLMs, and the next wave of intelligent automation What You’ll Be Doing * Designing and prototyping LLM-powered workflows (RAG, embeddings, agentic systems) * Cleaning and structuring complex, real-world datasets * Building and deploying production-grade ML/AI services * Contributing to evaluation, monitoring, and model performance improvements * Researching and implementing emerging AI approaches where they create practical value What We’re Looking For * BSc/MSc (2:1+) in Computer Science, Mathematics, Data Science, or related STEM * Strong Python skills * Experience with PyTorch, TensorFlow, or JAX * Practical experience applying LLMs to real problems * Broader ML exposure (e.g. tree-based models, deep learning fundamentals) * Familiarity with vector databases and RAG pipelines] * Experience deploying models via APIs (e.g. FastAPI) * Solid understanding of GCP and containerised environments (Docker) * High ownership mindset; you prototype, test, and improve independently * Right to work in the UK (no sponsorship) Nice to Have * Experience with agentic frameworks (LangGraph, CrewAI, AutoGPT) * Fine-tuning or structured model evaluation experience * Understanding of transformers and embeddings * Exposure to financial data or fintech systems * Contribution or Interest in open-source or research side projects Why Join * Build applied AI in a high-value, complex domain * Ship quickly in a well-funded early-stage startup * Work directly with an experienced CTO * Gain real ownership and technical depth early in your career * Join at an inflection point as the product scales

In short: A high-growth fintech is looking to bring on a Senior AI Engineer to build and ship production-grade scam intelligence that runs before payments clear. You’ll turn multi-source signals (transaction context, counterparty intelligence, behavioural patterns, unstructured evidence) into reliable, explainable risk decisions - under real-world constraints like latency, uptime, and auditability. About the company: The company is building a payment intelligence layer for banks - running real-time “investigations” on payments to provide rich context on the counterparty and situation. The goal: intercept scams while ensuring genuine payments flow smoothly. They’re early-stage, moving fast, and working on problems where correctness, security and reliability are non-negotiable. Who we’re looking for You’re a hands-on ML/AI builder who’s comfortable owning the full loop: data → modelling → deployment → monitoring → iteration. You care about practical decisioning (not just metrics), you’re thoughtful about trade-offs (customer experience vs protection), and you’re excited about building systems that are explainable and bank-grade. What you’ll do

• Build and ship scam risk models and signals (typology classification, risk scoring, decision logic)
• Engineer features across heterogeneous data: transaction context, behavioural sequences, counterparty signals, network/graph patterns, and unstructured evidence
• Design calibrated outputs (scores + reason codes) that are actionable and explainable for banking workflows
• Own evaluation end-to-end: leakage avoidance, cost-sensitive metrics, thresholding, phased rollouts, and post-incident learning
• Productionise ML: packaging, deployment, monitoring, drift detection, and retraining strategies
• Collaborate closely with backend/product teams to integrate intelligence into real-time payment flows
• Work alongside agent/LLM workflows for evidence gathering and synthesis, while keeping the decision core predictable and auditable Must-haves:
• Strong experience shipping applied ML into production (not just experimentation)
• Strong Python + ability to write maintainable, tested code
• Strong SQL + comfort working directly with messy, high-volume data
• Solid modelling judgement: calibration, leakage, bias, thresholding, cost trade-offs, monitoring/drift
• Experience building decisioning systems where reliability, latency, and explainability matter Nice-to-haves:
• Experience in fraud/scams, payments, risk, trust & safety, AML, or adjacent domains
• Familiarity with graph/network features and entity resolution style problems
• Experience with MLOps tooling (model registry/MLflow, feature stores, orchestration)
• Comfort with cloud-native/event-driven systems and working closely with platform/backend engineers
• Experience integrating unstructured signals (text/embeddings/RAG style pipelines) into decision systems Why join
• Work on a mission with real-world impact: stopping scams before money leaves
• Build real-time, bank-grade ML systems with ownership end-to-end
• Early team + high autonomy + meaningful technical decisions

In short: A high-growth fintech is looking to bring on a Senior Data Scientist to build and ship production-grade scam intelligence that runs before payments clear. You’ll turn multi-source signals (transaction context, counterparty intelligence, behavioural patterns, unstructured evidence) into reliable, explainable risk decisions - under real-world constraints like latency, uptime, and auditability. About the company: The company is building a payment intelligence layer for banks - running real-time “investigations” on payments to provide rich context on the counterparty and situation. The goal: intercept scams while ensuring genuine payments flow smoothly. They’re early-stage, moving fast, and working on problems where correctness, security and reliability are non-negotiable. Who we’re looking for You’re a hands-on ML/AI builder who’s comfortable owning the full loop: data → modelling → deployment → monitoring → iteration. You care about practical decisioning (not just metrics), you’re thoughtful about trade-offs (customer experience vs protection), and you’re excited about building systems that are explainable and bank-grade. What you’ll do

• Build and ship scam risk models and signals (typology classification, risk scoring, decision logic)
• Engineer features across heterogeneous data: transaction context, behavioural sequences, counterparty signals, network/graph patterns, and unstructured evidence
• Design calibrated outputs (scores + reason codes) that are actionable and explainable for banking workflows
• Own evaluation end-to-end: leakage avoidance, cost-sensitive metrics, thresholding, phased rollouts, and post-incident learning
• Productionise ML: packaging, deployment, monitoring, drift detection, and retraining strategies
• Collaborate closely with backend/product teams to integrate intelligence into real-time payment flows
• Work alongside agent/LLM workflows for evidence gathering and synthesis, while keeping the decision core predictable and auditable Must-haves:
• Strong experience shipping applied ML into production (not just experimentation)
• Strong Python + ability to write maintainable, tested code
• Strong SQL + comfort working directly with messy, high-volume data
• Solid modelling judgement: calibration, leakage, bias, thresholding, cost trade-offs, monitoring/drift
• Experience building decisioning systems where reliability, latency, and explainability matter Nice-to-haves:
• Experience in fraud/scams, payments, risk, trust & safety, AML, or adjacent domains
• Familiarity with graph/network features and entity resolution style problems
• Experience with MLOps tooling (model registry/MLflow, feature stores, orchestration)
• Comfort with cloud-native/event-driven systems and working closely with platform/backend engineers
• Experience integrating unstructured signals (text/embeddings/RAG style pipelines) into decision systems Why join
• Work on a mission with real-world impact: stopping scams before money leaves
• Build real-time, bank-grade ML systems with ownership end-to-end
• Early team + high autonomy + meaningful technical decisions
• London hybrid working + visa sponsorship available

Hybrid working - This leading and exciting Insurer are seeking a detail-oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team.

They’ve built the kind of pricing infrastructure every pricing professional aspires to work with:

• High-quality, accessible data
• A fast, flexible rating algorithm - deploy changes in hours
• Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development
• An operating model that gives complete autonomy to pricing professionals to dream up an idea and get it live

If you’re passionate about using data, tech, and creativity to push the boundaries of insurance pricing, we’d love to hear from you.

Role Purpose

This role focuses on end-to-end customer pricing, covering both risk and margin for the Insurer. It is a highly autonomous role within a specialized team.

Key Responsibilities

• Optimization: Identify pricing opportunities across segments to maximize profitability and market competitiveness.
• Innovation: Develop new features, tools, and models for advanced pricing sophistication.
• Monitoring: Analyse claims performance to ensure accurate calibration, especially regarding inflation and trends.
• Automation: Build automated processes to improve operational efficiency

Ideal Candidate Profile

• Extensive skills within Motor Insurance Pricing and Data
• Commercial Mindset: Motivated by driving tangible business value through data-driven decisions.
• Technical Proficiency: Skilled in data analysis and modelling techniques.
• Requires experience with analytical tools (e.g., Python, SQL, R) and a background in insurance pricing or data science.

The company are offering an impressive salary and benefits package and this is an exciting time to join this highly progressive Insurer.

About the Job:

We are seeking multiple AI Engineers to join a start-up focused on revolutionising AI Automation for businesses. They’re building systems that learn how a business runs and works out what can be automated to save time and money. You’ll work directly with clients to build a system that works for them, analysing historical process data from ticket and communications systems.

You Need:

• You need demonstrable experience of deploying AI Agents.
• You need strong Python skills with a grounding in AI or ML.
• You must have built AI systems in production.
• You must have used AI within complex systems.

Bonus Skills:

• Continuous learning/ continuous system improvement experience is a plus.
• Multi-agent experience is a plus.

Benefits:

• The chance to work on cutting-edge AI tech and develop your skills on a project that makes an impact.
• Extremely competitive salary.
• The option for equity allows your involvement to be more direct and meaningful.
• Central London office with great transport links.

We are a Certified B-Corp and our practices ensure that diversity, equality and inclusion carry across to those that we hire for.

Apply now to be part of the creation of a revolutionary tool to help businesses globally.

Role: AI Developer

Location: London - up to 3 days per week on-site

Duration: 3 Months

Day rate: 540 - 585 Umbrella Only

Minimum of 5 years UK residency required

Role Description:

We’re looking for an experience AI developer with the skills below. They’ll be building out our client’s AI needs and wants using a Microsoft Azure and Copilot stack.

Essential skills and experience

• Design and develop Microsoft Azure AI solutions using services such as; AI Foundry, Open-AI services, and Microsoft Copilot Studio.
• Apply governance frameworks for AI/ML models.
• Python knowledge to automate processes
• Large datasets experience, including data preprocessing, feature engineering, and model evaluation.
• Agile development of AI solution from concept to deployment to continuous improvement.
• Create and maintain technical documentation
• Communicate complex concepts to all stakeholders.
• At least 3 years of experience in AI solution engineering.
• Large Language Models experience including prompt engineering and RAG implementations.
• Expert data analytics, MLOps practices and API development.
• Desirable knowledge in Docker and Kubernetes

Adword:

Job title: Backend Java Developer

Duration: 4 months contract with a possibility of extension

Location: London 2 day a week Hybrid

Job description:

Looking for a Backend Java developer with 6+ years of experience in building and implementing large-scale systems across various projects and teams

Technical Skills:

• Linux system experience

• Java Backend development experience

• AI experience is a must - we will be working on AI tooling as well

• HTTP/networking

• Google Cloud (preferred)/AWS Kubernetes

• Github (Administration/Operations) Gitlab would be advantageous (if they don’t have Github)

• Git expert

• Data experience - would be helpful

If you’re excited about application security, identity management, and creating robust, secure solutions for modern architectures, we want to hear from you!

Please apply with a copy of your CV and let’s start the conversation!

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Guidance & Control Software Engineer (Interception Systems)
Location: North London - Hybrid
Type: Contract - Outside IR35
Rate: Starting at 50 per hour DOE

About the Role

Our client develops advanced autonomous weapon and interception technologies designed for high-speed target engagement in contested environments.

The programme centres on a vision-guided one-way aerial system capable of autonomously detecting, tracking, and intercepting manoeuvring objects. The software architecture combines real-time perception with predictive guidance and control.

This role will be central to the development of the onboard flight and guidance stack, implementing estimation, tracking and control algorithms in performance-critical C++ code. The engineer will work closely with perception, simulation and hardware teams to ensure reliable terminal behaviour under real-world conditions.

The Guidance & Control Software Engineer position suits an engineer with experience in missile guidance, air defence, seekers, or high-dynamic autonomous vehicles rather than conventional UAV autopilot development.

Key Responsibilities

Guidance & Control

Develop predictive guidance and control algorithms for autonomous interception

Implement proportional navigation, pursuit guidance or equivalent terminal control laws

Design trajectory prediction and time-to-impact logic for manoeuvring targets

Integrate perception outputs into stable closed-loop control behaviour

Tune and validate behaviour across dynamic envelopes and degraded sensing conditions

Estimation & Tracking

Develop state estimation and tracking filters (e.g. Kalman based approaches)

Handle uncertain and intermittent measurement data

Fuse onboard sensors and vision-derived measurements

Prevent divergence and oscillatory behaviour in terminal phase

Software Implementation

Implement real-time flight software in modern C++

Optimise performance for embedded compute constraints

Support hardware-in-the-loop and simulation environments

Work with safety-critical and deterministic execution constraints

Integration & Testing

Collaborate with perception and simulation engineers

Analyse flight logs and engagement performance

Support ground and flight trials

Debug instability, tracking loss, and intercept miss distance issues

Behaviours

Analytical and physics-driven problem solving

Comfortable working with incomplete or ambiguous data

Collaborative across perception, hardware and systems teams

Pragmatic and delivery focused

Ownership mindset with strong accountability

Calm under test and trial pressure

Qualifications and Experience

Strong C++ experience in embedded or real-time systems

Background in guidance, navigation and control, tracking, or estimation

Experience with high dynamic autonomous or weapon systems

Understanding of control laws and dynamic stability

Experience working with real sensor data rather than purely simulated environments

Familiarity with modelling or simulation environments desirable

Knowledge of vision-based navigation or target tracking beneficial

Degree in Aerospace Engineering, Control Systems, Robotics, Physics, Mathematics or similar

Eligibility to work on defence related programmes in the UK (SC Cleared / 5 years residency in the UK)

Job Description: Full Stack Engineer (Angular+Python+AI)

Location: London (Hybrid) Contract: 6 Months Client: Big Tech

The Mission

Join a high-velocity AI Accelerator team acting as an internal startup. We run 12-week sprints to build, prototype, and launch AI products that automate global business workflows.

Role Split

• 30% Innovation: Build new AI-driven tools from scratch in rapid sprints.
• 70% Evolution: Maintain, scale, and add high-impact features to existing AI products.

Key Responsibilities

• Technical Ownership: Write production-ready code and lead advanced testing (performance, security, stress).
• System Design: Research emerging tech and design scalable architectures that balance speed with long-term health.
• End-to-End Delivery: Own the full lifecycle-from initial research and scoping to production deployment and monitoring.
• Collaboration: Act as the technical point of contact for partners and mentor team members.

What We’re Looking For

• Core Stack: Expert-level Python (Backend) + Angular or React (Frontend).
• AI Knowledge: Practical experience with AI workflows, LLMs, or automation.
• Systems Mastery: Proven ability to build and debug large-scale, high-performance systems.
• Leadership: Strong skills in Agile methodologies, conflict resolution, and technical decision-making

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Candidates must be based in UK and eligible to work in UK.

Remote-Friendly Software Development Opportunity in Agricultural Technology
Join an award-winning agricultural analytics software company at the forefront of sustainable technology. We’re seeking exceptional Back-End Developers who can transform data into impactful solutions that enhance food production, farm economics, and environmental resilience.

Position Highlights:

• Remote Work
• London based head office
• Cutting-Edge Agricultural Technology Platform
• Opportunity to Drive Sustainability through Innovative Software Solutions

Candidate Assessment Process:

• LeetCode-Style Coding Challenge
• Designed to evaluate algorithmic problem-solving skills
• Focus on efficient, optimised solutions
• Challenges will test:

• Data Structures
• Algorithm Design
• Computational Thinking
• Performance Optimisation

Ideal Candidate Profile:
Academic and Professional Requirements:

• Ideally PhD graduate but minimum qualification: Degree/Masters in Computing, Computer / Data Science, or Equivalent
• Proven Commercial Experience as a Back-End Microsoft Developer
• Strong Academic Background with Demonstrable Achievements
• Proven ability to excel in time-constrained, algorithmic problem-solving

Technical Expertise:

• Advanced Proficiency in:

• C# and .NET Framework
• Microsoft Azure Cloud Platform
• SQL and SQL Server
• Complex Data-Driven Software Development
• Strong Algorithm and Data Structure Knowledge

Preferred Background:

• Experience in FinTech or Similar Structured Data Environments
• Demonstrated Ability to Scale Applications for Large User Base
• Previous success in technical coding assessments

Personal Attributes:

• Exceptional Attention to Detail
• Strong Collaborative and Communication Skills
• Creative Problem-Solving Approach
• Quick Analytical Thinking
• Ability to perform under time pressure
• Passion for Technological Innovation in Sustainability

What We Offer:

• Work with Respected Professionals
• Cutting-Edge Technology Solutions
• Meaningful Impact on Agricultural Sustainability
• Opportunity to Develop Market-Leading Software
• On top of the very competitive salary all employees are included in the company share scheme

Data Scientist (NLP & LLM Specialist)Remote- UK6-month contract with Potential ExtensionDay rate - 427.68 - 565 per day Inside IR35

Data Scientist (NLP & LLM Specialist)

Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers.

The Opportunity

In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets.

Your Impact

• Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes.
• Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment.
• Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data.
• Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions.

Your Experience

• Experience Level: 5-7+ years (More experience is welcomed).
• Core Technicals: High expertise in Python and Machine Learning (ML).
• NLP Expertise: 3-5 years of experience in Natural Language Processing.
• AI Knowledge: Familiarity with LangChain and LlamaIndex. The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch.
• Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting.
• Industry Knowledge: Experience with Risk Modeling or financial services is preferred.

This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

3 months
Remote
Inside IR35 - Umbrella only

Overview
The client requires strong Python Developers with deep, hands-on AWS experience.
This is an application-focused role - DevOps/operations-heavy profiles are not suitable for this engagement.

Most Important

• Strong Python Developer (5+ years hands-on development experience)
• Strong AWS experience (hands-on, application-focused)

Essential Technical Requirements
Python Development

• 5+ years of hands-on development experience (not scripting/automation roles)
• Strong knowledge of boto3 API
• Experience building RESTful applications
• Strong understanding of testing frameworks, unit testing, and regression testing methodologies

AWS Expertise

• Deep understanding of AWS networking and IAM
• Strong knowledge of IAM concepts (roles, users, resource policies, SCPs)
• Experience hosting applications within AWS
• Recent hands-on experience developing AWS Lambda (serverless)
• Infrastructure as Code using CloudFormation (preferred) or Terraform
• Strong understanding of AWS security best practices

Additional Technical Skills

• Flask API development
• Python-based API development within AWS environments

It’s essential that you bring strong, hands?on Python development and AWS application experience. If this aligns with your background, we’d love to hear from you!