AI, Automation & Emerging Technology
UK | Junior–Mid Level | 2+ Years Experience

About the Role

We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build (basic) timeboxed proofs of concept in Python and/or C#, and produce clear, decision-ready outputs.

This is not a BAU delivery role.
It’s structured, evidence-led innovation.

You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer (Who is an accomplished Software Engineer)

Salary: £40 - £50K Basic + Bonus + Benefits package

Location: North East office, but remote across the UK is totally fine.

What You’ll Bring

Essential

2+ years in a technical analyst, research, or solutions-focused role
Some Hands-on coding ability in Python and/or C# (You’ll learn software engineering from the senior R&D engineer, who’ll learn R&D from you!)
Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
Strong analytical thinking and structured evaluation skills
Excellent written communication — clear, concise, decision-ready outputs
Self-directed working style with confident stakeholder engagement
Familiarity with workflow orchestration / BPMN fundamentals

Desirable

Experience building AI-integrated applications
API and cloud platform exposure
Vendor/technology selection experience
Knowledge of process automation or orchestration platforms

Why Join

Direct exposure to cutting-edge AI and automation
Real influence over technology decisions
Clear progression into Senior R&D or specialist AI roles
Close collaboration with Architecture, Engineering, and Product

We’re looking for curiosity and rigour in equal measure — someone excited by emerging AI, but disciplined enough to separate signal from noise.

Apply now

AI Technologist A&D Location - Erskine, Newcastle, Farnborough or London Candidates are required to be eligible for clearance We are seeking aspirational AI Technologiststo join our AI Centre of Excellence and Execution under the UK Data & AI Wing. These individuals will act as strategic advisors and AI thought leaders across our key industry vertical Aerospace & Defence. As an AI Technologist, you will play a pivotal role in shaping customer conversationsaround AI and Data transformation. Youll work closely with Sales, Account Teams, and the AI Centre of Excellence & Execution(CoEE)to define tailored AI and Data strategies that accelerate our clients AI adoption journeys. This is a pre-sales and enablement-facing rolethat bridges the gap between business vision and technical delivery helping customers build confidence in their AI strategy and ensuring a seamless transition from concept to execution. Key Responsibilities Customer Engagement & Execution. Lead strategic discussions with customers to define their AI and Data Strategy, aligning technology capabilities with business goals. Identify opportunities for AI adoption and co-create innovative use cases with clients. Articulate the business value of Data and AI through impactful storytelling and demonstrable prototypes. Pre-Sales & Solution Development Collaborate with sales teams to shape AI-driven solutions for key opportunities. Design and present industry-specific AI use casesthat demonstrate measurable outcomes. Support proposal development, technical scoping, and solution presentations. Collaboration & Delivery Enablement Work closely with the AI Centre of Excellence & Execution(AI CoEE)to design and validate customer-specific AI solutions. Bridge the gap between sales and delivery teams, ensuring solutions are executable and aligned to client expectations. Build customer confidence by demonstrating technical credibility and business insight. Innovation & Thought Leadership Stay ahead of industry trends and emerging AI technologies relevant to your sector. Contribute to internal capability building, knowledge sharing, and best practices within the Data & AI community. Represent the organization in client and industry forums, showcasing our AI innovation. Key Skills & Experience Platforms, and Cloud ecosystems(Azure, AWS, or GCP). Proven experience in AI / Data Solutioning, Pre-Sales, Consulting, AI Product Manager, AI enthusiast roles. Strong understanding of one or more industry domains: A&D, FSI, Healthcare, Central Government, or Life Sciences. Expertise in AI/ML frameworks, Data p Ability to translate complex technical concepts into clear business value propositions. Excellent stakeholder management and communication skills able to influence senior decision-makers. Experience working collaboratively with sales and delivery teams to shape end-to-end solutions. Why Join Us Be part of a cutting-edge AI communitydriving digital transformation across the UK&I. Work at the intersection of business innovation and emerging AI technologies. Opportunity to shape the future of AI adoptionwithin some of the UKs most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities.

Our Hedge Fund client is looking for a Python Developer/Engineer Contract role

This team is responsible for the firms equity transaction data platform, including trade life cycle event processing, enrichment, and PnL calculations. The role is ideal for an engineer who enjoys building robust, high-throughput services and data pipelines in a fast-paced, delivery-focused environment.

Principal Responsibilities
Design and develop solutions for trade life cycle event processing, including corporate actions, expiries, and other post-trade events.
Build and operate Python-based services that perform large-scale data transformations and calculations.
Publish and distribute transaction and PnL data using Kafka, including AVRO-based schemas and streaming patterns.

Required Skills
Minimum of 6+ years of professional Python development experience, ideally in capital markets or a fintech firm.
Experience in finance: understanding of common financial asset classes; knowledge of equities corporate action processing, trade life cycle concepts, and/or P&L calculations is a strong plus.
Experience with Kafka (or equivalent streaming/messaging platforms) and schema-based event publishing (eg, AVRO).
Strong experience performing large-scale data calculations in Python using libraries like pandas, polars, and NumPy.
Experience building REST services using frameworks such as FastAPI and/or Flask.
Strong SQL skills and experience working with relational databases in production environments.
Hands-on experience with containerized deployments and modern infrastructure tooling (Docker, Kubernetes) and familiarity with cloud platforms.
Understanding of modern SDLC practices (testing strategy, CI/CD, release management, observability, and operational ownership).

Office based, 5 days per week.
Based in London.

Contract role inside IR35

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Shape the Future of AI Innovation

Move beyond delivery work into structured R&D where your technical insights directly influence strategic technology decisions. You’ll explore cutting-edge AI and automation technologies, build evidence-based recommendations, and help define our innovation roadmap.

About the Role

We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Engineer / Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build timeboxed proofs of concept in Python and/or C# (accomplished coding skills required, but this is not a “developer” role), and produce clear, decision-ready outputs.

This is not a BAU delivery role. It’s structured, evidence-led innovation.

You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer.

Salary: £45K - £50K Basic + Bonus + Benefits (25 days holiday, 7% matched pension scheme, private health plan, flexible holiday purchase, remote or hybrid working & much more!)

Location: Remote or North East. Hybrid office work / flexible / remote. Durham, Newcastle, Middlesbrough, Sunderland, etc. Although, we are very flexible to this, so more remote fine. As far down as Leeds or the other way & up toward Edinburgh!

What You’ll Do

Research & Evaluation

• Scan the market for emerging AI, orchestration, and automation technologies
• Conduct structured vendor and platform evaluations
• Assess technical fit, integration complexity, security posture, cost, and viability
• Stay current with LLMs, AI APIs, frameworks, and cloud services
• Produce concise evidence packs and recommendation summaries

Hands-On Prototyping

• Build lightweight PoCs to validate APIs and technical hypotheses
• Explore AI capabilities practically (model behaviour, integration patterns, performance limits)
• Contribute Python and/or C# code under technical direction

Focus: validation and insight — not production-grade implementation.

Documentation & Process

• Own R&D documentation, decision logs, and handover packs
• Maintain backlog discipline and enforce stage-gate standards
• Ensure findings are captured clearly and nothing falls through the cracks

What You’ll Bring

Essential

• 2+ years in a technical analyst, research, or solutions-focused role
• Hands-on coding ability in Python and/or C# (We need some here, but you’ll work with the Senior R&D engineer who will guide you on coding)
• Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
• Strong analytical thinking and structured evaluation skills
• Excellent written communication — clear, concise, decision-ready outputs
• Self-directed working style with confident stakeholder engagement
• Familiarity with workflow orchestration / BPMN fundamentals

Desirable

• Experience building AI-integrated applications
• API and cloud platform exposure
• Vendor/technology selection experience
• Knowledge of process automation or orchestration platforms

What Success Looks Like

Within your first 90 days, you will have:

• Contributed to live evidence packs
• Helped standardise R&D evaluation templates
• Supported an initiative through to handover-ready recommendation

Longer term, success is measured by the clarity, quality, and adoption of your R&D outputs.

Why Join

• Direct exposure to cutting-edge AI and automation
• Real influence over technology decisions
• Clear progression into Senior R&D or specialist AI roles
• Close collaboration with Architecture, Engineering, and Product

We’re looking for curiosity and rigour in equal measure — someone excited by emerging AI, but disciplined enough to separate signal from noise.

Ready to shape our AI innovation strategy? Apply now and help us turn emerging technology into competitive advantage.

£60,000 - £70,000

Remote (UK-based)

Are you a highly experienced Web Scraper who can scrape from heavily defended sites for a leading platform in AI-driven Search Intelligence? If so, this may the next exciting step in your career.

THE COMPANY

This leading company is at the forefront of using AI to power its Search Intelligence Platform.

THE ROLE

As a Python Web Scraping Engineer, you will scrape data from heavily defended sites using Python.

Specifically, you can expect to be involved in the following:

• Using browser automation tools (Playwright, Selenium, Puppeteer or similar)
• HTML parsing and data extraction
• Handling bot detection systems
• Cloud-based scraping at scale

SKILLS AND EXPERIENCE

The successful Python Web Scraping Engineer will have the following skills and experience:

• Anti-bot detection and evasion
• Browser fingerprinting techniques
• CAPTCHA solving and handling
• Proxy management and IP rotation

BENEFITS

The successful Python Web Scraping Engineer will receive the following:

• Salary between £60,000 - £70,000 - depending on experience
• Competitive benefits

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Applied AI Software Engineer - LangChain, LangGraph, RAG, Knowledge Graphs

A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Software Engineer to lead the design and development of next-generation AI products and services across Finance, supporting both internal operations and external platforms.

This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end; from design and architecture, through development and deployment, to optimisation and continuous improvement.

You’ll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices.

Location: Remote with twice a month travel to Leeds / Bradford

Salary: £90,000 to £110,000 + 15% Bonus + Excellent Benefits

To be considered

Strong experience as an AI Engineer / ML Engineer / Software Engineer with applied AI exposure.
Hands-on Python development experience delivering production-grade systems.
Practical experience building agentic AI workflows (LangGraph / LangChain or similar frameworks).
Exposure to Knowledge Graphs (Neo4j / RDF / graph-based enrichment or retrieval).
Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration.

This is an excellent opportunity for a senior developer to build impactful Agentic AI systems, influence technical direction, and work within an organisation that is actively investing in AI as a core capability

Job Title: Senior Generative AI Architect (Agentic AI & GCP) Location: Sheffield, UK (Hybrid - 2 Days Onsite/Week) Contract Duration: 6-9 Months Role Type: FTE or Contractor The Opportunity We are seeking a high-level AI Tech Lead / Architect to drive a major digital transformation for a Tier-1 Global Financial Institution. This is not a standard chatbot project. You will be responsible for architecting 'Agentic AI' solutions-designing autonomous multi-agent systems that can orchestrate complex workflows, communicate with one another, and integrate securely with enterprise banking systems. Key Responsibilities Agentic AI Architecture: Architect end-to-end GenAI solutions using Google Cloud Platform (GCP) , specifically leveraging Vertex AI APIs and the Agent Development Kit (ADK) . Multi-Agent Ecosystems: Design architectures that support Agent-to-Agent (A2A) communication, orchestration, and collaboration across diverse business functions. LLM Strategy & RAG: Define model selection, fine-tuning strategies, and build Retrieval-Augmented Generation (RAG) pipelines to ensure contextual accuracy and reduced hallucinations. Context Engineering: Establish frameworks for memory retention using embedding stores, Vector Databases , and persistence strategies. Integration: Architect prompt management and function-calling layers to seamlessly integrate AI agents with backend APIs, microservices, and UI/UX layers. Governance & Compliance: Implement strict observability and governance frameworks to ensure all GenAI deployments meet enterprise data security and regulatory standards. Skills & Requirements Mandatory: Proven experience in Application Architecture Tech Stack: Deep expertise in Google Cloud Platform (GCP) , Vertex AI , and Gemini Models . AI Frameworks: Strong hands-on experience with LangChain , Vector Databases (Pinecone, Weaviate, etc.), and LLMOps tools. Domain: Experience delivering AI/GenAI use cases within Banking or highly regulated industries is a significant plu Why Apply? Work on the cutting edge of Agentic AI and Multi-agent orchestration . Lead the architectural strategy for a massive enterprise-scale deployment. Hybrid working model based in Sheffield. Randstad Technologies is acting as an Employment Business in relation to this vacancy. TPBN1\_UKTJ

Job Title: AI Engineer / Machine Learning Engineer Location: UK (Hybrid/Flexible) Salary: £80,000£120,000 Experience: 38 Years A fast-growing technology consultancy is looking for a talented AI Engineer / Machine Learning Engineer to join their expanding AI practice. This is a high-impact role working on real client projects across generative AI, machine learning and cloud-based solutions. Key Responsibilities: Design, build and deploy machine learning and AI solutions for enterprise clients Develop models using Python, PyTorch and modern ML frameworks Work with large datasets to train, evaluate and optimise models Implement and scale solutions on AWS (SageMaker, Bedrock, Lambda, etc.) Contribute to generative AI initiatives using Hugging Face and open-source models Collaborate with data engineers, architects and stakeholders to deliver production systems Required Skills & Experience: 38 years experience in AI, Machine Learning or Data Science roles Strong Python programming skills Hands-on experience with PyTorch Experience with Hugging Face transformers or similar frameworks Solid experience deploying ML solutions on AWS Understanding of MLOps, model deployment and performance optimisation Ability to work in a consultancy environment with multiple clients Desirable: Experience with LLMs, RAG pipelines or generative AI applications Knowledge of Docker, Kubernetes or CI/CD for ML Exposure to other cloud platforms (Azure/GCP) Whats on Offer: £80,000£120,000 base salary Work on cutting-edge AI and generative AI projects Rapid career progression within a growing consultancy Collaborative, innovation-focused culture Flexible/hybrid working If youre looking to build advanced AI solutions and want to be part of a consultancy scaling its AI capability, apply now with your CV. TPBN1\_UKTJ

AI Architect (Generative & Agentic AI)

Permanent

Location: London (onsite twice a week)

Salary: £80,000 - £95,000 Per Annum D.O.E Plus benefits & Bonus

Shape the next generation of enterprise AI

We’re looking for a senior AI Architect to lead the design and delivery of cutting-edge Generative and Agentic AI solutions across complex enterprise environments.

This is a client-facing, strategic role for someone who combines deep technical expertise with strong consulting instincts, someone who can move comfortably between vision, architecture, and real-world delivery.

You’ll work on high-value transformation initiatives, helping organisations turn AI from experimentation into measurable business impact.

The Role:

As an AI Architect, you’ll operate at the intersection of strategy, solution design, and delivery.

You will:

• Lead discovery and design of AI-led solutions aligned to business outcomes
• Architect and scale GenAI, RAG, and Agentic AI systems in production
• Advise senior stakeholders on AI strategy, feasibility, and roadmap
• Act as a technical authority during bids, proposals, and client workshops
• Guide engineering teams through complex implementations

This role offers real ownership, from shaping ideas through to deploying production-grade AI platforms.

Key Responsibilities:

Client & Stakeholder Engagement

• Partner with commercial and delivery teams to qualify opportunities and shape compelling AI propositions
• Act as a trusted advisor in workshops, discovery sessions, and solution design discussions
• Support RFI/RFP responses and client presentations with clear, credible technical direction

Solution Architecture & Delivery

• Design enterprise-ready Data & AI architectures using modern cloud platforms (AWS, Azure, GCP)
• Architect RAG-based GenAI solutions, chatbots, and autonomous/agentic workflows
• Select appropriate models, frameworks, orchestration tools, and evaluation approaches
• Ensure solutions are secure, scalable, observable, and production-ready

Technical Leadership & Innovation

• Lead and mentor teams of AI and software engineers
• Drive best practices across MLOps / LLMOps, governance, and AI observability
• Contribute to reusable accelerators, reference architectures, and go-to-market offerings

What We’re Looking For:

Essential Experience & Skills:

• Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation
• Strong understanding of:
• Prompt engineering
• RAG pipelines
• Model fine-tuning (supervised / unsupervised)
• MLOps / LLMOps and AI observability
• Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.)
• Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph
• Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries
• Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP)
• Solid software engineering foundations for building scalable, maintainable systems
• Experience leading or guiding teams of AI / software engineers

Consulting & Communication:

• Strong stakeholder management and communication skills
• Comfortable translating complex AI concepts into clear business value
• Experience supporting proposals, bids, and client presentations

Why Apply?

• Work on meaningful, enterprise-scale AI transformation programmes
• Shape AI strategy and architecture, not just build proofs of concept
• High visibility, senior-level role with real influence
• Continuous exposure to modern AI tooling, frameworks, and delivery models
• Strong investment in learning, innovation, and professional development

Bristol (Hybrid)

£35-40k + Bonus + EMI Equity + Private Healthcare

Method Resourcing are working with an established corporate finance advisory firm in Bristol who are investing heavily in AI and automation across the business.

They’ve already implemented Microsoft 365 and Dynamics and are now building internal AI agents to automate research, meeting preparation, document drafting and CRM enrichment.

They’re looking for someone with hands-on experience across:

• Microsoft Dynamics 365
• Microsoft Power Automate
• Microsoft Power Apps

You’ll improve CRM workflows, build new automations, and support the development of AI agents using Microsoft Copilot Studio.

This is not a ticket-based support role, it’s an opportunity to sit at the centre of an AI-enabled transformation inside a high-performing professional services firm.

Ideal for someone early in their Power Platform/AI career who:

* Enjoys breaking down processes into logical steps

* Has built automation workflows end-to-end

* Is curious about AI and operational efficiency

* Wants ownership and exposure, not just admin

Hybrid working (2 days WFH), bonus participation, EMI equity scheme and private healthcare included.

RSG Plc is acting as an Employment Agency in relation to this vacancy.

We are seeking an experienced AI Architect to join a global consulting team. This role is central to shaping enterprise-scale AI transformations, combining deep technical expertise with strategic client engagement.

As a Gen AI Architect, you will:

• Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions.
• Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Defining architectural patterns for end-to-end pipelines
• Act as a trusted advisor to senior stakeholders, guiding AI roadmaps and strategy.
• Translate complex business needs into scalable AI-driven solutions across public cloud, edge, and hybrid environments.
• Drive thought leadership through client workshops, industry forums, and technical advisory.
• Ensure AI solutions meet governance, ethics, and responsible AI standards.
• Collaborate with internal teams and global partners to deliver world-class AI platforms.

Key Skills & Experience:

• 10+ years of technical leadership (with a strong background in Software Engineering / Enterprise scale architecture)
• Knowledge of GenAI operations (ideally, experience governing AI models in production environments)
• Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems.
• Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering.
• Proven ability to engage directly with CxO-level stakeholders.
• Experience in MLOps, AI governance, and large-scale deployment.
• Recognised professional certifications in AI or cloud technologies.

If you have these skills and would like to find out more, please apply now

We have a current opportunity for a Rust Engineer on a permanent basis. The position will be based in London. For further information about this position please apply.

you will build the infrastructure that sits between our traders and the market - execution paths, data pipelines, and observability tooling that power trillions in annual notional volume. When a system performs at 3am under peak load, you will be one of the reasons why. This is a rare opportunity to apply Rust in a domain where performance directly changes outcomes, and where your engineering decisions carry real commercial weight.

Requirements

• 5-10 years software engineering; 3+ years production Rust - ownership, lifetimes, and async model are instincts, not references
• Tokio and the broader async Rust ecosystem; concurrent, lock-free, and wait-free data structures in live systems
• Low-latency system design; hot path optimisation, benchmarking, and hardware-level profiling - cache topology, NUMA effects, allocator behaviour
• Custom allocator design, unsafe code review, and rigorous reasoning about memory safety at system boundaries
• High-performance network programming: TCP/UDP, zero-copy I/O, kernel bypass awareness (DPDK, io_uring)
• Distributed messaging and event streaming: Kafka, NATS, or equivalent; ordering guarantees, exactly-once semantics, consumer group management
• Production observability: metrics (Prometheus/OpenTelemetry), distributed tracing, structured logging, and alert design
• CI/CD pipeline design including benchmarking gates, automated performance regression detection, and reproducible builds
• TDD as a design discipline - property-based testing, integration tests, chaos and fault injection experience
• Ability to lead architecture design reviews, author ADRs, and elevate Rust engineering standards across a team
• Cloud infrastructure - Azure preferred, AWS considered; IAM, managed services, automated and auditable deployment pipelines, secrets management

Nice to Have

• Front office trading environment (any asset class) - execution systems, market data infrastructure, or low-latency pricing engines
• FIX protocol, OMS/EMS connectivity, or direct exchange co-location experience
• SIMD, vectorisation, or GPU offloading for numerical workloads; eBPF for observability or network instrumentation
• Open-source Rust contributions, published crates, or ring-buffer/LMAX Disruptor pattern experience

What We’re Looking For

You find the bottleneck before anyone reports it, understand it at the hardware level, and instrument the fix so the next problem surfaces in seconds. You write Rust other engineers learn from and care deeply.

To find out more about Huxley, please visit (url removed)

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

AI Engineer (Generative & Agentic AI)

Permanent

Location: London (onsite twice a week)

Salary: £75,000 - £85,000 Per Annum D.O.E

Build intelligent systems that solve real enterprise problems:

We’re looking for an AI Engineer who wants to do more than just plug into APIs, someone who wants to own the build, shape intelligent systems, and bring advanced GenAI and Agentic AI solutions into real-world production.

If you’re motivated by tackling messy enterprise problems, not just experimenting with models, this is a role where you’ll build systems that genuinely change how organisations operate.

Why this role exists:

Enterprises are past the experimentation phase. They’re asking harder questions:

• How do we make GenAI stable, scalable, and safe?
• How do we move from prototypes to production?
• How do we integrate AI into existing products and workflows?

You’ll be the engineer who takes these questions and turns them into working, impactful AI systems, not just research pieces or demo-ware.

This role is ideal for someone who thrives on building, iterating, and owning AI solutions end-to-end.

The Role:

As an AI Engineer, you’ll be responsible for designing, building, and deploying production-grade AI systems in complex enterprise environments.

You will:

• Build and deploy GenAI, RAG, and Agentic AI systems that solve real business challenges
• Develop robust pipelines, services, and integrations that turn models into usable products
• Work across front-end, back-end, and data layers to deliver complete, functioning AI solutions
• Collaborate with architects, data scientists, and product stakeholders to shape solutions and define delivery paths
• Take ownership of performance, scalability, and maintainability of AI components
• Continuously experiment, improve, and bring new ideas forward, without heavy process slowing you down

This isn’t a research role and it’s not “keep the lights on.” It’s product-driven engineering where you ship real systems into production.

Key Responsibilities:

AI System Development

• Build and optimise AI models and pipelines
• Implement RAG, agentic workflows, and advanced reasoning techniques
• Deploy LLM-driven features into real products

Full-Stack & Platform Engineering

• Develop APIs, backend services, data flows, and integration layers
• Contribute to UI/UX when needed as part of end-to-end delivery
• Ensure clean, scalable engineering across the stack

MLOps / LLMOps

• Own the deployment, monitoring, and iteration of AI systems
• Use modern tooling to ensure models and pipelines are reliable, observable, and repeatable

Collaboration

• Work closely with cross-functional teams to identify opportunities and translate them into robust engineering solutions
• Provide technical input into architecture, design discussions, and delivery planning

What We’re Looking For:

Core Experience:

• Strong Python engineering skills and experience delivering production AI/ML systems
• Hands-on experience with LLMs, RAG, vector databases, and GenAI frameworks
• Experience deploying solutions on cloud platforms (AWS, Azure, or GCP)
• Familiarity with LangChain, LlamaIndex, or agentic frameworks is highly valuable
• Strong grounding in software engineering best practices (testing, versioning, CI/CD, scalability)

Mindset & Behaviours:

• Seek ownership, not just tasks
• Enjoy solving real user and business problems, not just model optimisation
• Thrive in environments where they can experiment and move quickly
• Communicate clearly with both technical and non-technical stakeholders
• Want to see their work in production, being used by real people

Why Join?

• Work on impactful AI programmes that go beyond prototypes
• Build meaningful, high-value systems that people actually use
• Work with modern GenAI tools, approaches, and delivery models
• Collaborate with experienced architects, engineers, and innovators
• Strong investment in engineering excellence, innovation, and personal development

If you want to build AI systems that matter, not just experiment with models, this is your next move.

This is an exciting opportunity for a Senior Data Engineer to own the Azure/Databricks data & AI platform end-to-end from architecture and pipelines to governance, data quality, observability, ML enablement so the business gets trusted, timely, and cost-efficient data and models.

Client Details

Senior Data Engineer

The organisation is a well established entity within the financial services industry. It operates as a medium-sized firm and focuses on providing reliable and innovative solutions to its clients.

Description

Senior Data Engineer

• Develop and oversee Azure-based solutions to support analytics functions.
• Design and evolve the Azure/Databricks modern data platform architecture.
• Build, optimise and maintain scalable ETL/ELT pipelines and data models.
• Implement data governance, lineage and cataloguing using Purview/Unity Catalog.
• Establish data quality frameworks, monitoring and observability across pipelines.
• Manage orchestration, platform operations and ITIL-aligned incident/change processes.
• Ensure strong data security, access controls and regulatory compliance.
• Support and enable machine learning and AI solutions within Databricks.
• Monitor and optimise cloud and compute costs using Azure FinOps tooling.
• Provide guidance and mentorship to the analytics team on Azure best practices.

Profile

Senior Data Engineer

A successful senior data engineer will have deep, hands-on experience with Databricks and Azure, with the ability to own platform architecture, delivery and operations end-to-end (including DevOps, monitoring, reliability and cost control). They will be fluent across data engineering, governance, ML enablement and ITIL-aligned change and incident management.

• Proven expertise in delivering Azure and Databricks data platform solutions.
• Strong background in designing and optimising complex ETL/ELT pipelines.
• Hands-on experience with data governance, lineage and cataloguing tools.
• Proven ability to implement data quality, monitoring and observability practices.
• Experience leading platform operations, including incident and change management.
• Demonstrated capability in mentoring others and collaborating with diverse stakeholders.
• Strong leadership skills with the ability to guide and develop teams.
• Excellent analytical and problem-solving abilities.

Job Offer

Senior Data Engineer

• Competitive salary up to £70,000 + Bonus & Benefits.
• Standard benefits package provided.
• Permanent position within a reputable organisation.
• Chance to develop and lead innovative Azure-driven projects.

Take the next step in your career by applying for this Senior Data Engineer position in Basingstoke today. Join a trusted organisation and make a significant impact.

Shape the Future of AI Innovation

Move beyond delivery work into structured R&D where your technical insights directly influence strategic technology decisions. You’ll explore cutting-edge AI and automation technologies, build evidence-based recommendations, and help define our innovation roadmap.

About the Role

We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Engineer / Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build timeboxed proofs of concept in Python and/or C# (accomplished coding skills required, but this is not a “developer” role), and produce clear, decision-ready outputs.

This is not a BAU delivery role. It’s structured, evidence-led innovation.

You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer.

Salary: £45K - £50K Basic + Bonus + Benefits (25 days holiday, 7% matched pension scheme, private health plan, flexible holiday purchase, remote or hybrid working & much more!)

Location: Remote or North East. Hybrid office work / flexible / remote. Durham, Newcastle, Middlesbrough, Sunderland, etc. Although, we are very flexible to this, so more remote fine. As far down as Leeds or the other way & up toward Edinburgh!

What You’ll DoResearch & Evaluation

• Scan the market for emerging AI, orchestration, and automation technologies
• Conduct structured vendor and platform evaluations
• Assess technical fit, integration complexity, security posture, cost, and viability
• Stay current with LLMs, AI APIs, frameworks, and cloud services
• Produce concise evidence packs and recommendation summaries

Hands-On Prototyping

• Build lightweight PoCs to validate APIs and technical hypotheses
• Explore AI capabilities practically (model behaviour, integration patterns, performance limits)
• Contribute Python and/or C# code under technical direction

Focus: validation and insight - not production-grade implementation.

Documentation & Process

• Own R&D documentation, decision logs, and handover packs
• Maintain backlog discipline and enforce stage-gate standards
• Ensure findings are captured clearly and nothing falls through the cracks

What You’ll Bring

Essential

• 2+ years in a technical analyst, research, or solutions-focused role
• Hands-on coding ability in Python and/or C# (We need some here, but you’ll work with the Senior R&D engineer who will guide you on coding)
• Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
• Strong analytical thinking and structured evaluation skills
• Excellent written communication - clear, concise, decision-ready outputs
• Self-directed working style with confident stakeholder engagement
• Familiarity with workflow orchestration / BPMN fundamentals

Desirable

• Experience building AI-integrated applications
• API and cloud platform exposure
• Vendor/technology selection experience
• Knowledge of process automation or orchestration platforms

What Success Looks Like

Within your first 90 days, you will have:

• Contributed to live evidence packs
• Helped standardise R&D evaluation templates
• Supported an initiative through to handover-ready recommendation

Longer term, success is measured by the clarity, quality, and adoption of your R&D outputs.

Why Join

• Direct exposure to cutting-edge AI and automation
• Real influence over technology decisions
• Clear progression into Senior R&D or specialist AI roles
• Close collaboration with Architecture, Engineering, and Product

We’re looking for curiosity and rigour in equal measure - someone excited by emerging AI, but disciplined enough to separate signal from noise.

Ready to shape our AI innovation strategy? Apply now and help us turn emerging technology into competitive advantage.

Presales AI ArchitectSalary: Up to £120,000 + Bonus + BenefitsLocation: Central London - Hybrid (3 days per week onsite)Working Hours: 40 hours per week - Full time

A globally established organisation is seeking a Presales AI Architect to drive AI and Generative AI growth across strategic enterprise accounts within the Telecom, Media and Information Services sector.

This is a senior client-facing role focused on shaping AI opportunities, defining solution architectures and supporting complex enterprise sales pursuits. The position is suited to an experienced AI strategist who combines strong presales capability with deep understanding of modern AI technologies including Generative AI, large language models and emerging agent-based systems.

Responsibilities for the Presales AI Architect:

• Drive AI and Generative AI pipeline development across key UK and European enterprise accounts
• Partner with sales leaders and account teams to identify and qualify AI transformation opportunities
• Act as a trusted advisor to senior customer stakeholders, shaping AI strategy and enterprise roadmaps
• Lead AI solutioning across proposals, RFP responses and strategic bids
• Translate business challenges into scalable AI and GenAI architectures aligned to enterprise objectives
• Support the creation of proof-of-concepts, pilots and MVPs that demonstrate measurable business value
• Articulate AI value propositions including ROI modelling and outcome-based transformation strategies
• Provide architectural oversight during delivery phases to ensure alignment between solution design and implementation
• Work with hyperscaler and ecosystem partners to accelerate joint AI go-to-market initiatives

Essential Skills for the Presales AI Architect:

• Proven experience driving AI or Generative AI presales engagements within enterprise or consulting environments
• Strong capability in value-based solutioning including business case development and ROI modelling
• Experience shaping GenAI, LLM and agentic AI solutions on major cloud platforms such as AWS, Azure or GCP
• Strong understanding of enterprise AI architecture patterns and solution design
• Experience supporting complex enterprise procurement processes including RFPs and large-scale bids
• Ability to engage credibly with C-level stakeholders including CIOs, CTOs and digital transformation leaders
• Strong understanding of responsible AI, governance, security and enterprise adoption considerations
• Experience working within matrixed organisations across sales, delivery and partner teams

Desirable Skills for the Presales AI Architect:

• Experience delivering AI transformation programmes within Telecom, Media or Information Services sectors
• Experience shaping large-scale multi-year AI transformation strategies
• Previous accountability for AI pipeline growth, sales targets or portfolio expansion

If you are an experienced AI Architect with strong presales expertise looking to shape enterprise AI strategies and drive large-scale transformation initiatives, please apply in the immediate instance.

Shape the Future of AI Innovation

Move beyond delivery work into structured R&D where your technical insights directly influence strategic technology decisions. You’ll explore cutting-edge AI and automation technologies, build evidence-based recommendations, and help define our innovation roadmap.

About the Role

We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Engineer / Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build timeboxed proofs of concept in Python and/or C# (accomplished coding skills required, but this is not a “developer” role), and produce clear, decision-ready outputs.

This is not a BAU delivery role. It’s structured, evidence-led innovation.

You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer.

Salary: £45K - £50K Basic + Bonus + Benefits (25 days holiday, 7% matched pension scheme, private health plan, flexible holiday purchase, remote or hybrid working & much more!)

Location: North East. Hybrid office work / flexible. Durham, Newcastle, Middlesbrough, Sunderland, etc. Although, we are very flexible to this, so more remote fine. As far down as Leeds or the other way & up toward Edinburgh!

What You’ll DoResearch & Evaluation

• Scan the market for emerging AI, orchestration, and automation technologies
• Conduct structured vendor and platform evaluations
• Assess technical fit, integration complexity, security posture, cost, and viability
• Stay current with LLMs, AI APIs, frameworks, and cloud services
• Produce concise evidence packs and recommendation summaries

Hands-On Prototyping

• Build lightweight PoCs to validate APIs and technical hypotheses
• Explore AI capabilities practically (model behaviour, integration patterns, performance limits)
• Contribute Python and/or C# code under technical direction

Focus: validation and insight - not production-grade implementation.

Documentation & Process

• Own R&D documentation, decision logs, and handover packs
• Maintain backlog discipline and enforce stage-gate standards
• Ensure findings are captured clearly and nothing falls through the cracks

What You’ll Bring

Essential

• 2+ years in a technical analyst, research, or solutions-focused role
• Hands-on coding ability in Python and/or C# (We need some here, but you’ll work with the Senior R&D engineer who will guide you on coding)
• Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
• Strong analytical thinking and structured evaluation skills
• Excellent written communication - clear, concise, decision-ready outputs
• Self-directed working style with confident stakeholder engagement
• Familiarity with workflow orchestration / BPMN fundamentals

Desirable

• Experience building AI-integrated applications
• API and cloud platform exposure
• Vendor/technology selection experience
• Knowledge of process automation or orchestration platforms

What Success Looks Like

Within your first 90 days, you will have:

• Contributed to live evidence packs
• Helped standardise R&D evaluation templates
• Supported an initiative through to handover-ready recommendation

Longer term, success is measured by the clarity, quality, and adoption of your R&D outputs.

Why Join

• Direct exposure to cutting-edge AI and automation
• Real influence over technology decisions
• Clear progression into Senior R&D or specialist AI roles
• Close collaboration with Architecture, Engineering, and Product

We’re looking for curiosity and rigour in equal measure - someone excited by emerging AI, but disciplined enough to separate signal from noise.

Ready to shape our AI innovation strategy? Apply now and help us turn emerging technology into competitive advantage.

My client is a fast-growing UK FinTech business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.

This is a hands-on leadership role combining technical ownership, team development, and production-grade model deployment.

The Role

As Lead Data Scientist, you will:

• Lead and develop a growing Data Science team, setting standards and delivery cadence
• Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance
• Translate business objectives into modelling strategies aligned to risk appetite and operational constraints
• Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)
• Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions
• Establish monitoring frameworks for performance, drift, and retraining
• Drive clear documentation, traceability, and governance appropriate for a regulated environment

This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.

Essential Experience

• Proven commercial ML/Data Science delivery with measurable impact
• Experience taking models into production and managing performance over time
• Prior experience leading or mentoring Data Scientists
• Strong Python (pandas, numpy, scikit-learn or similar)
• Strong SQL (complex joins, aggregations, analytical functions)
• Solid grounding in applied statistics, evaluation design, calibration, bias/fairness
• Experience working closely with Engineering/Data teams in production-first environments
• Comfortable operating within regulated industries

Desirable

• AWS experience (S3, Athena/Glue, IAM, Lambda)
• SageMaker or equivalent ML platform experience
• Financial services domain knowledge (risk, fraud, affordability, payments)
• Experience with model explainability and governance documentation

Package & Benefits

• Hybrid working model
• Competitive pension
• Additional paid leave (birthday, charity, wellbeing, life events)
• Employee assistance programme & Virtual GP
• Modern collaborative office environment

Interested? Please Click Apply Now! Lead Data Scientist

This is a great time for a junior-to-mid-level Python Developer, to consider joining an established Oxfordshire-based scale-up in the Medtech sector. The Python Developer will be joining a dedicated R&D team that leverage machine and deep learning for the computer vision and signal processing algorithms that underpin an innovative patient-monitoring platform, deployed in 100s of hospitals across the UK and US.

Using existing Python skills to support the research, development, deployment and monitoring of deep-learning enabled products into hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark or Databricks.

The Company

The Python Developer will be joining a company whose platform has been scientifically proven to deliver safer, high-quality and efficient patient care, at an exciting time of growth and expansion into new markets. As a well-funded scale-up, they offer an entrepreneurial team spirit, where you’ll be contributing directly to the team’s success. Working predominantly remotely, you’d ideally be onsite a couple of times each month, although there will be other opportunities for meeting up as a team off-site.

Benefits

• Predominantly remote working
• 25 days’ holiday, with the ability to purchase more
• Private health insurance
• Personal Learning & Development budget
• Wellbeing days

What’s required to be successful in this role?

• Demonstrable programming ability in Python, preferably within a data context
• A STEM-related degree
• Some experience with the Python scientific stack (NumPy, Pandas, SciPy, etc.) is preferred
• Experience with Docker, GIT and Linux

So What’s Next?

If you are an experienced Python Developer looking for your next technical challenge and the opportunity to further develop your skills; apply now for immediate consideration!

Software Developer, Python Developer, Software Engineer, Python

Corriculo Ltd acts as an employment agency and an employment business.

High Growth B2B SaaS AI & Machine Learning Platform

£90,000 - £100,000 + Significant Equity

I am working with a scaling London based technology business where Machine Learning and AI sit at the core of the product.

The platform is built around a large-scale dataset created by crawling the web and collecting millions of listings from multiple external sources. That raw data is then structured, matched and analysed to power a suite of SaaS tools used across the market.

One of the core technical challenges is that the same entity can appear multiple times across different sources, often with slightly different attributes or descriptions. The platform uses a combination of neural networks and rule based systems to match records and build a reliable dataset over time. They are now hiring a Head of Data to take ownership of their data and AI platform.

The Opportunity

This is a hands-on leadership role where you will lead a team of 5-6 across Data Science and Data Engineering while remaining technically involved in modelling, machine learning deployment and architectural decisions.

The platform runs on AWS and includes large-scale crawlers ingesting significant volumes of external data. However, the architecture has evolved over time and data currently sits across multiple siloed systems.

They need someone who understands what good looks like in a modern data platform and can bring structure, coherence and technical direction.

You will take ownership of improving the data architecture, strengthening the matching systems and defining a clear data and AI roadmap for the business.

Key Areas of Focus

• Designing and improving a scalable AWS based data platform
• Rationalising fragmented data across multiple systems
• Leading the full machine learning lifecycle from ingestion and feature engineering through to deployment
• Improving neural network and rule based matching systems used to identify the same entities across different sources
• Embedding robust MLOps and model monitoring
• Building a coherent data architecture that supports future AI development
• Leading and developing a team of Data Scientists and Data Engineers

The Background That Works Well

Relevant experience in environments that deal with messy data from multiple external sources might include:

• Web crawling or large-scale web data ingestion
• Marketplace or data aggregation platforms
• Entity resolution, record linkage or deduplication systems
• Matching systems or recommendation engines
• Geospatial or address based data platforms
• ML systems deployed into production

You do not need sector experience, but you should be comfortable working with complex datasets where the same entity appears across multiple sources.

What They Are Looking For

• Strong Data Science background with hands on machine learning experience
• Experience deploying ML models into production environments
• Understanding of data engineering concepts and modern cloud data platforms
• Architectural thinking around data platforms and ML systems
• Experience working with messy, multi source datasets
• Leadership experience managing small, high impact teams
• Someone proactive who can define standards and shape the data roadmap

Package

Salary: £90,000 - £100,000

Equity: Meaningful equity with real upside (3 year vesting)

Location: London - Hybrid working, typically 2-3 days in the office with a pragmatic approach to flexibility

This is a high ownership role where you will be shaping the foundations of a data and AI platform inside a scaling technology business.

If you enjoy solving complex data problems, building scalable machine learning systems and leading a small but impactful team, I would be keen to speak.

My client is a fast-growing UK FinTech business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.

This is a hands-on leadership role combining technical ownership, team development, and production-grade model deployment.

The Role

As Lead Data Scientist, you will:

• Lead and develop a growing Data Science team, setting standards and delivery cadence
• Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance
• Translate business objectives into modelling strategies aligned to risk appetite and operational constraints
• Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)
• Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions
• Establish monitoring frameworks for performance, drift, and retraining
• Drive clear documentation, traceability, and governance appropriate for a regulated environment

This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.

Essential Experience

• Proven commercial ML/Data Science delivery with measurable impact
• Experience taking models into production and managing performance over time
• Prior experience leading or mentoring Data Scientists
• Strong Python (pandas, numpy, scikit-learn or similar)
• Strong SQL (complex joins, aggregations, analytical functions)
• Solid grounding in applied statistics, evaluation design, calibration, bias/fairness
• Experience working closely with Engineering/Data teams in production-first environments
• Comfortable operating within regulated industries

Desirable

• AWS experience (S3, Athena/Glue, IAM, Lambda)
• SageMaker or equivalent ML platform experience
• Financial services domain knowledge (risk, fraud, affordability, payments)
• Experience with model explainability and governance documentation

Package & Benefits

• Hybrid working model
• Competitive pension
• Additional paid leave (birthday, charity, wellbeing, life events)
• Employee assistance programme & Virtual GP
• Modern collaborative office environment

Interested? Please Click Apply Now! Lead Data Scientist