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AI Technical Architect 6 Months Remote Contract 600 a day Inside IR35 Active Security Check (SC) Clearance is needed for this role A well-established IT solution provider is looking for an experienced AI Technical Architect to join an existing team of experts. In this highly visible role, you will act as the bridge between complex data science and robust cloud architecture-spearheading the design, governance, and delivery of enterprise-grade AI solutions. You will technically steer engineering teams, manage senior stakeholder relationships, and deliver production-ready Generative AI capabilities. The ideal candidate must be heavily hands-on with Python and Azure , possessing a proven track record of designing and deploying Retrieval-Augmented Generation (RAG) patterns. Key Responsibilities Architect & Govern: Design and implement robust on-premises, cloud, and hybrid AI solutions, ensuring strict technical governance and best practices across the delivery lifecycle. GenAI & LLM Engineering: Take a hands-on approach to deploying, fine-tuning, and customising pretrained LLMs. Build intelligent systems utilising Prompt Engineering, Vector Databases, Azure OpenAI, and Cognitive Search. Data Pipelines: Oversee large-scale data processing and AI data engineering pipelines using Python and PySpark. Leadership & Stakeholder Management: Guide and mentor engineering teams while confidently managing client relationships to secure consensus on complex technical architectures. Essential Skills Clearance: Active UK Government Security Check (SC). GenAI: Expertise in LLMs and RAG architectures. Python: Strong proficiency alongside PySpark for data engineering. Azure: Deep familiarity with native tools (AI Search, Document Intelligence). MLOps: Understanding of LLMOps frameworks for production deployment. 6 Months Remote Contract 600 a day inside IR35 Active Security Clearance Are you a seasoned technical leader with a passion for cutting-edge artificial intelligence? If this sounds like your next challenge, please apply directly to this advert or send your CV to (url removed). Randstad Technologies is acting as an Employment Business in relation to this vacancy.

We are currently working with a growing technology business in the healthcare software space who are looking to add a Platform Engineer / DevOps Engineer to their engineering team. This is an excellent opportunity for someone who enjoys building reliable infrastructure, improving deployment processes, and working in a modern cloud-native environment. The business is investing heavily in new cloud-based products and platforms, and they re looking for an engineer who can help scale and improve the environments that support both development and production systems. The Role: You ll be working closely with software engineering teams to: Build and maintain scalable cloud infrastructure Improve CI/CD pipelines and deployment automation Support Kubernetes-based environments and containerised applications Enhance platform reliability, monitoring, and observability Troubleshoot production and infrastructure issues Contribute to infrastructure security and operational best practices Drive continuous improvement across tooling and platform operations This is a hands-on engineering role with real ownership and the opportunity to influence how platforms are built and operated moving forward. Tech Environment: The stack includes technologies such as: Kubernetes Linux CI/CD pipelines GitOps / Argo CD Bitbucket & Bamboo MongoDB / PostgreSQL Kafka OpenSearch Bash / PowerShell scripting Cloud infrastructure They re open to candidates from DevOps, Platform Engineering, SRE, Cloud Engineering, or strong Infrastructure backgrounds. What They re Looking For: Key experience includes: Commercial experience in a DevOps, Platform, SRE, or Infrastructure Engineering role Strong Linux administration skills Experience with CI/CD and deployment automation Exposure to cloud-hosted infrastructure Kubernetes/container experience Scripting/automation experience Understanding of monitoring, logging, and operational support Experience with GitOps, Argo CD, Kafka, or database platforms would be beneficial but isn t essential. In return the Company offers: A competitive salary and benefits package, modern engineering environment,strong focus on automation and cloud-native technologies, stable and growing business,meaningful products used within healthcare,supportive technical culture with genuine progression opportunities, good balance of project work and operational engineering.

Build and own a greenfield platform shaping the future of energy exploration Join a well-funded start-up with strong backing and clear growth plans. Own and shape a modern data platform built on GCP and cutting-edge tools. Real opportunity to grow into a future leadership role. We're working with an early-stage, well-funded tech-led exploration company that's tackling one of the biggest challenges in energy today. They're building a new approach to natural exploration, using advanced data, geoscience, and cloud tech to drive smarter decisions. They're now looking for a Senior Data Platform Engineer to take ownership of their growing platform and help scale it as the business expands globally. What you'll be doing This Senior Data Platform Engineer role sits at the heart of a multidisciplinary team of scientists, analysts, and engineers. You'll work closely with them to turn complex workflows into robust, scalable systems. It's a hands-on role where you'll create, own, and improve everything from data pipelines to internal tools, helping move the business from early-stage build to a more mature platform.As Senior Data Platform Engineer, you'll take full ownership of the existing data platform and evolve it as the business grows. You'll work across backend services, cloud infrastructure, and internal tools. A big part of the role is turning experimental workflows and scripts into reliable, production-ready systems that scientists can trust and use daily.You'll manage and extend a GCP-first platform, working with tools like BigQuery, Airflow, dbt, and Terraform. You'll also help build internal applications using Python, FastAPI, and React, giving teams easy ways to trigger workflows and access data. Alongside this, you'll improve data quality, monitoring, and automation, ensuring everything is robust, secure, and scalable.This role is great for someone with a solid background, loves variation and a new challenge. Sound like you? Apply today! What experience you'll need to apply Several years of strong experience as a Data Engineer or Platform Engineer in a cloud environment Solid Python skills, including building backend services and working with data workflows A few years of experience with GCP, including BigQuery and cloud-native tools Hands-on experience with Airflow, dbt, and modern data pipelines Infrastructure as code experience, ideally using Terraform Experience building or contributing to internal tools or application Strong SQL and data modelling skills Comfortable working in a start-up or scaling environment is a bonus Bonus points if you've worked with React, FastAPI, or in scientific or energy domains Ability to come into the London office three days per week What you'll get in return for your experience The role offers a salary of up to £100,000 DOE, alongside equity in a growing business with long-term ambition. You'll be joining at a key stage, with strong recent funding and a clear path towards further investment. You'll be required to go into the London office three times per week. What's next? If this Senior Data Platform Engineer role feels like it could be a good fit and the location works, please feel free to pop an application across and we'll review ASAP!

We're working with one of the UK's fastest-growing SaaS businesses who are scaling their engineering team with the addition of a Senior Software Engineer. This is an opportunity to join a product-led tech company building a modern enterprise platform used by millions of users globally. The engineering culture is highly collaborative, fast-moving, and focused on delivering genuinely impactful products. The Role As a Senior Full Stack Engineer, you'll play a key role in designing and delivering new features across a modern SaaS platform. You'll work closely with Product, Design and Engineering teams, contributing across both frontend and backend systems while helping drive technical quality and best practice. Key Responsibilities • Deliver high-quality features across frontend and backend systems • Contribute to architectural decisions and technical direction • Support and mentor other engineers within the team • Collaborate closely with Product and Design teams • Help improve engineering standards, testing, scalability and CI/CD practices • Participate in sprint planning and agile delivery processes Tech Stack / Experience Required • Strong experience with React, Redux and TypeScript • Strong backend development experience with Node.js • Experience building microservices and APIs (REST / GraphQL) • Experience with NoSQL databases such as MongoDB • Understanding of automated testing and CI/CD pipelines • Strong communication and collaboration skills Desirable Experience • AWS services (S3, SNS/SQS, CloudFormation etc.) • Docker / Kubernetes / containerised environments • Modern frontend tooling such as Vite or Next.js • Cypress or end-to-end testing frameworks • Express, Apollo Server or similar backend frameworks • Experience working within fast-paced SaaS environments What's On Offer • Fully remote-friendly environment • Flexible working hours • Reduced working hours on Fridays • Unlimited holiday policy • Enhanced pension and wellbeing benefits • Health cash plan and employee support programmes • Salary sacrifice schemes including electric vehicles and cycle-to-work • Strong engineering culture with genuine progression opportunities If you're interested in hearing more, apply now or get in touch for a confidential conversation.

2nd Line Support Engineer Aylesford £32,000-£34,400 Oscar Technology has partnered exclusively with a leading MSP near Aylesford to recruit for a skilled 2nd Line Support Engineer to join their team. Job Description As a 2nd Line Support Engineer, you will play a crucial role in the company's effective delivery of the service desk services. For this role in particular, we are building a dedicated support team for a brand new customer so it's a great opportunity to get involved from the beginning with a lot of project work! Responsibilities Include: Monitoring & dealing with issues raised in the logging system and directly through the phone. Providing 2nd line support for IT incidents and requests, ensuring timely resolution and user satisfaction. Perform necessary, routine maintenance and updates to application operating systems and anti-virus software. Confirm factors such as IT Policies, procedures and security standards are being considered and abided by. Assist with data retrieval, backup management - either onsite or cloud based. Establishing and maintaining technical documentation that can range from technical diagrams to knowledge articles. Essential Skills: Extensive knowledge around desktop and laptop hardware, operating systems (Windows, Mac OS, Linux) and software applications. Knowledge with virtualization technologies such as VMware and Hyper-V. Excellent knowledge of networking concepts such as: TCP/IP, DHCP, DNS, and VPN. Familiarity with troubleshooting and resolving issues linked to Microsoft 365. Knowledge of Active Directory and user account management. Familiarity with server administration demands such as user management, file shares and security. Strong communication and interpersonal skills. 2nd Line Support Engineer Aylesford £32,000-£34,400 Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Senior Backend Python Developer 6-Month contract - Inside IR35 - up to £450 per day Leeds based - hybrid working - 3 days onsite Responsibilities Build and maintain backend services and APIs in line with existing architectural patterns and standards. Implement business logic, data access layers, and integrations with internal and external systems. Develop and enhance RESTful APIs, following defined contracts and API standards. Write clean, maintainable, well-tested code, adhering to agreed engineering best practices. Contribute unit and integration tests to ensure functional correctness and regression safety. Support feature delivery by implementing backend components from pre-defined designs and tickets. Participate in code reviews, addressing feedback and continuously improving code quality. Troubleshoot backend issues using logs and diagnostics, escalating complex design concerns to onshore leads. Work within an Agile/Scrum team, contributing to sprint delivery and estimations for assigned work. Follow established security, performance, and reliability guidelines when implementing backend changes. Skills & Experience Core backend engineering 3-6+ years of backend development experience. Strong experience with Python or equivalent backend frameworks. Solid understanding of REST API development, request/response models, and error handling. Experience working in microservices-based architectures. Cloud & infrastructure awareness Hands-on experience deploying or running services on GCP or another hyperscaler. Familiarity with managed databases (e.g. Cloud SQL, PostgreSQL). Understanding of containerised workloads (Docker) and serverless/container platforms (e.g. Cloud Run or Kubernetes). Data & integration Strong SQL skills, including schema usage, query optimisation, and data consistency. Experience integrating with external systems via APIs or messaging. Awareness of data validation, idempotency, and failure handling patterns. Quality & delivery Experience writing unit and integration tests for backend services. Familiarity with CI/CD pipelines and version control (Git-based workflows). Comfortable working from clear requirements, tickets, and technical guidance provided by onshore leads. Ways of working Experience working as part of a distributed or offshore delivery team. Able to communicate progress, blockers, and risks clearly to onshore counterparts. Willingness to follow established standards rather than redefine architecture. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Software Engineer (Full Stack, Polyglot) Hybrid (3 days/week in the North East HQ) Remote considered, with monthly on-site time Our client is looking to hire 2 Software Engineers to join a high-impact, in-house engineering team supporting a nationwide business operating at scale. This is not a "build for the backlog" role. The systems you'll work on directly shape how customers discover products, how thousands of colleagues do their jobs, and how a multi billion pound operation stays efficient day to day. Why this role? You'll get breadth, ownership, and real-world impact : Build across the stack: Go, C#, TypeScript, Python Deploy and run in AWS Work with AI tools as part of your daily workflow - not a future experiment Ship regularly and see your work used immediately There are no silos here. Engineers move across services, frontend, infrastructure, and tooling. If you like variety and solving real problems, you'll feel at home. What you'll be doing Building and evolving customer-facing platforms, internal tools, and operational systems Working across APIs, services, frontends, and data pipelines Pairing, reviewing code, and solving problems as a team Shipping fast, learning quickly, and improving continuously What we're looking for You don't need to tick every box, but you should recognise yourself in most of these: AI-first mindset - you already use tools like Copilot, Cursor, or similar AI in production - experience embedding LLMs, APIs, or agents into products Automation / robotics experience - from RPA to physical systems Cloud-native - AWS or Azure in real production environments Polyglot engineer - comfortable picking up and switching languages Full-stack capability - frontend, backend, APIs, data Hands-on builder - scripts, CLIs, background workers, not just web apps Modern architecture - serverless, event-driven systems, or breaking apart monoliths Data-aware - SQL, NoSQL, and/or data pipelines How we work Psychological safety is non-negotiable We pair, collaborate, and share ownership No hero culture, no gatekeeping Problems are surfaced early and solved together Open to a range of experience levels

Database Administrator Inside IR35 £550 - £620 Swindon Hybrid PostgreSQL We're looking for an experienced Database Administrator (DBA) to support a critical platform within a high-performing environment, who is a expert in PostgreSQL. This role is a hybrid role based off 2 working days a month in the Swindon office. This role is focused on optimisation, stability, and performance -working hands-on to ensure the database environment is running efficiently, reliably, and at scale. Key Responsibilities Optimise and tune PostgreSQL databases to improve performance and reliability Troubleshoot and resolve complex database issues and query bottlenecks Monitor database health, performance, and availability Ensure platform stability through proactive maintenance and improvements Analyse and optimise SQL queries, indexing strategies, and execution plans Support incident resolution and provide root cause analysis Implement best practices across database operations and maintenance Work closely with engineering and infrastructure teams to improve overall system performance Required Experience Strong experience as a PostgreSQL DBA / Database Administrator Proven track record of performance tuning and optimisation in live environments Deep understanding of query optimisation, indexing, and execution plans Experience troubleshooting production database issues under pressure Strong operational background supporting mission-critical systems Knowledge of backup, recovery, and high availability strategies Desirable Experience in high transaction environments (e.g. financial services, payments, fintech) Exposure to cloud-based PostgreSQL (AWS RDS, Aurora, Azure, GCP) Experience with Dynatrace If this is a role that suits your skillset, you are available immediatley and can work 2 days per month in the Swindon office then please apply for the job advert directly or send your CV to . Database Administrator Inside IR35 £550 - £620 Swindon Hybrid PostgreSQL

AI Application/Big Data Engineer 6-Month contract - Inside IR35 - market rate London based - hybrid working - up to 3 days a week onsite Finance sector - must have previous experience Role Overview Senior AI / Data Engineer responsible for designing, building, and optimizing AI-driven data pipelines and integrations to enable a QAS-powered response suggestion capability embedded in Salesforce Service Cloud. The role focuses on scalable data processing, LLM integration, and continuous model improvement using production telemetry. Responsibilities Design and implement Salesforce QAS integration architecture Build and optimize data pipelines supporting AI inference and feedback loops Develop backend services / APIs enabling response suggestion workflows Integrate LLM capabilities (Amazon Bedrock) for response generation and embeddings Enable continuous model tuning via: telemetry data quality scoring usage analytics Work with structured and unstructured data sources: Microsoft Graph (SharePoint / Teams) Implement asynchronous processing pipelines (SQS, EventBridge) Ensure data reliability, scalability, and performance Contribute to: design documentation runbooks technical decision-making Support: SIT/UAT phases production readiness hypercare and rollout to additional entities Required Experience & Skills Core 5-10 years of experience in Data Engineering / AI Engineering Strong experience in: Python / JVM-based backend development REST APIs / microservices Experience with cloud-native architectures on AWS Data & AI Hands-on with: Amazon Bedrock (or equivalent LLM platforms) data pipelines (batch + streaming) embeddings / retrieval architectures Experience using: Snowflake (data platform integration, CDC concepts) PostgreSQL (RDS) AWS Stack S3, RDS, SQS, EventBridge Containerized workloads (EKS/ECS) Engineering Practices Strong understanding of: distributed systems performance optimization observability (e.g. Langfuse, logging/metrics) Nice-to-Have Experience with: Salesforce Service Cloud integrations NLP / GenAI applications in customer service Exposure to: Amplitude or product analytics tools Knowledge of regulated environments (banking / capital markets) Soft Skills Ability to work in cross-functional distributed teams Strong ownership mindset (design production) Clear communication with business and technical stakeholders Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

The Senior AI Software Engineer is a core technical role within the AI Lab. This person helps design and build the foundation that AI solutions are built on, bringing engineering depth, an eye for systems thinking, and a commitment to quality that raises the bar for the whole team.You will make an impact by: Contributing to system design and feasibility assessments for new AI initiatives, helping evaluate technical approaches, surface risks, and shape solution direction ahead of development. Helping maintain and evolve development and coding standards across the Lab, ensuring AI work produced by the firm is consistent, clean, and built to last. Implementing enterprise integration patterns that connect AI solutions to RSM's wider technology ecosystem in a secure and scalable way. Building and maintaining automation frameworks that improve the speed and reliability of development, testing, and deployment. Applying appropriate architectural patterns and scalability models when designing solutions, with an awareness of how choices made today affect maintainability tomorrow. Participating in technical reviews, offering constructive input on designs and code produced by peers and contributing to a culture of engineering rigour. Designing and developing AI solutions end-to-end across the Lab's core platforms - Copilot Studio, Azure AI Foundry, Intellixcore, and more - from initial design through to production delivery. Producing clear technical documentation, architectural diagrams, and reusable assets that help the wider team build confidently and consistently. Supporting junior engineers and graduates with day-to-day technical guidance, code review, and practical problem-solving. What we are looking for:The ideal candidate is a capable, hands-on engineer with a growing interest in how AI systems are designed and structured at scale - someone who takes quality seriously and brings considered thinking to every build.Key attributes include: Solid experience designing and delivering AI or data-driven solutions in a professional context, with involvement in architectural or system-level decisions. Working knowledge of enterprise AI platforms - ideally Copilot Studio, Azure AI Foundry, or Intellixcore - or equivalent cloud and AI tooling, with the ability to get up to speed quickly. A good grounding in software engineering principles, including system design, API and integration patterns, and security fundamentals. Solid programming skills, with practical experience in Python and SQL used in AI and data engineering contexts; comfortable working across both code-first and low-code platforms. Comfortable working within governance or compliance-aware environments, understanding the importance of building responsibly without losing momentum. Ability to produce technical documentation and diagrams that are accessible to both engineering colleagues and non-technical audiences. Strong communication and collaboration skills, with the confidence to raise technical concerns, contribute to design discussions, and support teammates effectively. What we can offer you:We recognise that our people are our most important assets. That's why we offer a flexible reward and benefits package that will help you have a fulfilling experience, both in and out of work. Hybrid and Flexible working 26 Days Holiday (with the option of purchasing additional days) Lifestyle, Health, and Wellbeing, including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team UNFORTUNATELY THIS ROLE DOES NOT SPONSOR Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

This role is being handled by Via, a secure hiring platform used by employers to review candidates. After applying, you will be invited to create your profile on the Via platform. Your profile stays anonymous until you match. AI Engineer Senior / Lead London (Hybrid) £80,000 - £110,000 + Excellent Benefits The Opportunity A fast-growing, globally recognised AI consultancy is looking for experienced AI Engineers to join its expanding UK team. The business is trusted by leading enterprises to deliver AI into production at scale, working in close partnership with the world's top AI and cloud providers. This is a hands-on engineering role at the intersection of software craftsmanship and cutting-edge AI implementation. You won't be training models. You'll be architecting and building the orchestration layer that makes complex LLM systems reliable, scalable, and genuinely useful in production environments. You'll work on some of the most technically demanding AI challenges in industry: multi-agent systems, RAG pipelines, agentic workflows, and robust evaluation frameworks, all at enterprise scale. What You'll Be Doing Designing and building production-grade AI systems that integrate LLMs, RAG pipelines, vector databases, and agentic frameworks Creating evaluation and observability frameworks to measure, monitor, and continuously improve system performance, accuracy, and reliability Implementing and maintaining retrieval systems, including ingestion pipelines, chunking strategies, and advanced techniques such as HyDE Building and owning production AI applications: clean code, robust error handling, well-designed APIs, and data pipelines Crafting effective prompts and optimising across latency, cost, and quality dimensions for different model providers Working with clients and internal teams to translate complex requirements into reliable, trusted AI products What We're Looking For Core Requirements Hands-on experience building applications with LLM APIs, with a genuine understanding of their capabilities, limitations, and failure modes Practical experience implementing RAG architectures, vector databases, knowledge graphs, and prompt engineering techniques Experience building multi-step LLM workflows and agentic systems, whether via frameworks (e.g. LangGraph, Strands, Agent SDKs) or custom implementations Strong Python proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, or Azure) Solid grounding in distributed systems, CI/CD, testing frameworks, and deployment pipelines Strong data manipulation skills (pandas, SQL) and familiarity with evaluation strategies for LLM-based systems Comfortable working with ambiguity, able to optimise non-deterministic systems through experimentation while balancing latency, cost, and quality trade-offs Nice to Have Experience with AI-assisted development tooling (e.g. Claude Code, GitHub Copilot) Knowledge of when fine-tuning is preferable to prompt engineering or RAG, with hands-on fine-tuning experience Familiarity with real-time streaming, multimodal models, or search technologies such as Elasticsearch Experience with model observability tools such as LangSmith or Weights & Biases Background in a regulated or specialised vertical (financial services, healthcare, energy, legal, retail), with an understanding of compliance, security, and responsible AI considerations Experience setting up tool-calling agents, handoffs, and guardrails For Principal-Level Candidates Exceptional candidates with a track record of leading end-to-end client engagements, particularly in a consulting context, will also be considered at Principal level. This would suit someone who has owned delivery from initial scoping through to production, and is comfortable leading technical direction alongside client relationships. What's on Offer Salary of £80,000 - £110,000 depending on level and experience Company bonus scheme Personal learning and development budget Choice of equipment, Mac or PC, plus accessories A genuinely collaborative culture where your technical perspective will carry weight from day one Backing and investment to pursue new ideas and grow your career quickly Exposure to cutting-edge AI work across multiple sectors and enterprise clients Register your details on Via to progress your application. Create one profile and be matched to this role and other relevant opportunities, including roles advertised exclusively on Via .

AI Engineer Fully Remote 3 Month Contract £550 to £650 per day. Outside IR35 The Company They are a technology-led organisation working at the intersection of AI, customer experience, and immersive digital products. The team partners closely with enterprise clients to design and build advanced AI-driven interfaces that blend conversational intelligence with rich visual experiences. This project sits at the heart of their innovation roadmap and is expected to evolve into a long-term IP-led platform. The Role and Deliverables Design and build conversational dialogue flows for a GenAI-powered chatbot, aligned to an existing storyboard. Develop and integrate LLM-driven pathways for product discovery, recommendation, and problem-led customer journeys. Implement solutions on Google Cloud Platform, using services such as Vertex AI and Dialogflow. Integrate APIs to enrich conversations with real-world context, such as stock availability, product data, and environmental signals. Define and apply guardrails to manage off-topic, inappropriate, or constrained user interactions. Support model fine-tuning, testing, and iteration to ensure conversational accuracy across accents and multiple languages. Your Skills & Experience Strong experience building and deploying generative AI or conversational AI solutions in production environments. Hands-on expertise with GCP, particularly Vertex AI, Dialogflow, and related services. Proven capability designing complex dialogue flows that adapt to user intent and context. Experience integrating LLMs with structured product or inventory data for recommendation use cases. Comfortable working in fast-paced, delivery-focused projects with high stakeholder visibility. How to Apply If you are a contract Generative AI Engineer interested in shaping an ambitious, immersive AI product from the ground up, please apply to learn more about the assignment.

A fast-growing UK technology business specialising in cloud communications, customer engagement platforms and AI-driven solutions is looking for a commercially minded and technically hands-on CTO to lead its next phase of growth. This is a senior leadership role for someone who can shape technology strategy, build scalable products, lead engineering teams and work closely with commercial leadership to bring innovative solutions to market. The business operates within the UCaaS, CCaaS and CPaaS space, delivering advanced cloud-based communication and customer engagement solutions using modern cloud infrastructure, AI technologies and secure payment integrations. The Role You will take ownership of the company's technology vision, product roadmap and engineering capability, helping drive the next generation of customer engagement and communications products. This role combines strategic leadership with strong technical understanding and customer-facing involvement. Key Responsibilities Define and lead the overall technology and product strategy Build and scale a high-performing product development function Develop and deliver a multi-year product roadmap Oversee the design, development and launch of cloud-native SaaS products Drive the adoption of AI across products and internal development processes Lead modern DevOps, CI/CD and cloud infrastructure practices Support solution engineering, professional services and customer experience teams Deliver technical workshops, demonstrations and training sessions Work closely with sales and operations leadership to align technology with commercial goals Represent the business in customer meetings, partner engagements and industry events Required Experience Previous experience in a senior technology leadership role such as CTO, VP Engineering, Head of Product Engineering,Technical Director or similar. Strong background within UCaaS, CCaaS, CPaaS, MSP or cloud communications environments Experience with Twilio Flex, Twilio APIs, AWS or programmable communications platforms Understanding of AI-driven contact centre technologies including analytics, automation and conversational AI Experience building scalable SaaS products and engineering teams Strong stakeholder management and leadership skills Experience working within Agile/Scrum development environments Right to work in the UK Desirable Experience in secure payment integrations and PCI-compliant environments Knowledge of ISO27001, GDPR and UK data privacy standards Experience working with enterprise or public sector customers Understanding of omnichannel customer engagement platforms What's On Offer Senior leadership position within a growing technology business Opportunity to shape innovative cloud communications and AI products Highly visible role with real influence on company direction Competitive salary and performance-based bonus Opportunity to build and lead a growing technical function

C# .NET Software Developer Location: Remote (UK) - Dunstable HQ Salary: Up to £55,000 + Benefits We're looking for a C# .NET Software Developer to join our growing engineering team building scalable backend services, integrations, and cloud-based applications using modern Microsoft technologies. This is a remote-first role with first week being on-site in our Dunstable office for collaboration sessions. You'll work alongside experienced engineers, consultants, and stakeholders on a range of business-critical systems, integrations, automation tooling, and AI-enhanced projects. While some of our platforms integrate with Microsoft Dynamics 365 and Dataverse, prior experience isn't required - we're happy to support the right developer in learning these technologies over time. This is a great opportunity for someone who enjoys backend engineering, APIs, cloud services, automation, and solving real-world technical problems in a collaborative environment. What You'll Be Working On Designing and developing backend services and applications using C# and .NET Building and maintaining RESTful APIs and third-party integrations Developing scalable cloud-native solutions and distributed systems Working with Azure services and modern engineering practices Supporting integrations with platforms such as Dynamics 365 and Dataverse Writing clean, maintainable, and testable code following best practices Troubleshooting production issues, performance bottlenecks, and integration failures Contributing to automation and AI-focused initiatives, including: Intelligent document and email classification Extracting structured data from unstructured inputs Human-in-the-loop workflows Internal productivity tools and AI copilots What We're Looking For Essential Skills & Experience Commercial experience developing with C# and .NET Good understanding of object-oriented programming and software design principles Experience building or consuming REST APIs and web services Familiarity with Git and CI/CD workflows Strong debugging and problem-solving skills Ability to work independently and collaboratively within a remote team Nice to Have Experience with Azure services such as Functions, App Services, Service Bus, or Key Vault Exposure to Microsoft Dynamics 365 or Dataverse SQL and relational database experience JavaScript or TypeScript knowledge Interest in AI/ML concepts, LLMs, OCR, or workflow automation Experience with Power Platform (Power Apps / Power Automate) What We Offer Remote-first working environment Salary up to £55,000 depending on experience Training budget and support for Microsoft certifications Clear progression pathway and career development support Opportunity to work on modern AI and automation projects Pension, holiday allowance, and standard company benefits Collaborative and supportive engineering culture

AI Engineer - LLM & Agentic Systems London - Hybrid. Circa £500 - £675 per day (and negotiable DOE) Contract (Outside IR35) Mid-level, Senior & Lead. Agentic AI / Machine Learning. Company: Our client is a globally established B2B information and professional services business, operating across multiple high-value industry sectors. They have established data science and machine learning engineering teams already delivering in production, and are now expanding their AI capability significantly across the global organisation. This is a role for people who ship. If you've built LLM-powered systems and agentic workflows that are live in production - not demos, not prototypes - and you want to do that at genuine scale, this is worth applying for. What you'll be working on as an AI Engineer - LLM & Agentic Systems: Designing and building AI agents and agentic workflows - combining LLMs, RAG, reasoning, memory and tool orchestration to solve real, complex business problems. Owning delivery end-to-end - from initial exploration through to production deployment, integration and ongoing iteration. Working with MCP-style architectures (FastMCP/FastAPI) and LangChain/LangGraph or equivalent frameworks to build reliable, scalable systems. Integrating AI into products, APIs and core business workflows - with a sharp eye on latency, cost and real-world usability. Collaborating closely with engineering teams to ensure systems are observable, maintainable and built to last. You're experience as an AI Engineer - LLM & Agentic Systems: Proven, production-grade experience shipping LLM-powered systems - with clear, real-world examples you can speak to confidently. Hands-on experience building AI agents including tool use, orchestration and multi-step reasoning - RAG systems that actually deliver, not just proofs of concept. Strong Python skills and solid machine learning foundations - able to write clean, production-grade code with a firm grasp of system design principles. Cloud deployment experience across AWS, GCP or Azure, using modern engineering practices. A product mindset - you care about impact and adoption, not just model performance. You understand LLM and machine learning trade-offs and design systems accordingly. About you: You'll likely have a Masters or higher in a mathematical, scientific or computer science discipline. More importantly, you've built things that are used - and you can explain clearly why you made the decisions you did. At senior and lead level, we're looking for people who take strong ownership, mentor others naturally and can drive complete workflows and projects from brief through to delivery. A background in SaaS, B2B AI products or large-scale AI transformation is a strong signal. Ambitious, but a genuine team player - you raise the bar without making it about yourself. If you're building serious AI systems and want to do it at scale within a well-established global business, we'd welcome a conversation. Machine Learning & Agentic AI

Cloud Platform Engineer - Energy / Oil and Gas, Azure, AWS Up to £700 per day UK (Remote) 6 - 12 months My client is a high profile Consultancy who urgently require a Cloud Platform Engineer with proven Energy / Oil & Gas industry experience, along with strong Azure (and ideally AWS too) expertise and proven experience with FinOps, Infrastructure as Code (IaC), Configuration Management, and modern CI/CD platforms and workflows. Key Requirements: Proven experience as a Cloud Platform Engineer with proven Energy / Oil & Gas industry experience Expertise in Azure (hands-on Cloud Engineering) Proven experience with FinOps, Infrastructure as Code (IaC), Configuration Management, and modern CI/CD platforms and workflows Excellence in operational infrastructure support and maintenance (including cloud data centres) in the Energy / Oil & gas sector, covering systems such Server, Storage, Back-up & Recovery, SaaS, PaaS, IaaS and Security services Ability to help to shape the Cloud strategy by providing key tactical input to the Cloud Architect, driving FinOps / SRE practices and governing the operations of managed service providers (third parties) Capability to help drive the adoption of modern practices, including GitOps, Infrastructure as Code (Terraform / Ansible / Bicep / ARM), and CI/CD development (transitioning from Azure DevOps to GitHub Enterprise) Excellent communication and stakeholder management skills Nice to have: Microsoft Certification (ie Azure Solutions Architect Expert) Working knowledge of AWS and subsequent AWS certifications Immediate availability Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Mid-Level Data Scientist Knowsley - Hybrid The Company They are a well-established UK retail business undergoing a significant data transformation. With major customer-led initiatives underway, including a new loyalty programme, the organisation is increasing its focus on advanced analytics, machine learning and personalisation. The culture is collaborative, pragmatic and delivery-focused, with an emphasis on getting models into production rather than staying in experimentation mode. The Role You will join a small but growing Data Science team, working closely with the Data Science Lead and one other Data Scientists. This is a hands-on role focused on building strong foundations and scaling existing use cases across the business. Key responsibilities include: Designing and developing customer-focused data science solutions across segmentation, lifetime value, forecasting and targeting Taking models end to end from problem definition through to deployment and monitoring Working with stakeholders to translate business questions into robust modelling approaches Partnering with engineers and analysts to productionise models and embed them into customer journeys Contributing to the development of a new Data Science platform and best practices as the team matures Your Skills & Experience To be successful in this role, you will bring: Strong commercial experience in Data Science or Machine Learning within a real-world environment Advanced Python skills for modelling and analysis, with solid SQL capability Experience delivering end-to-end data science solutions, including deployment Exposure to forecasting, statistical modelling or applied machine learning use cases Comfort working in a team that is still evolving its Data Science maturity Clear communication skills and the ability to build credibility with non-technical stakeholders Cloud exposure in GCP or Azure, and experience using managed ML services, would be advantageous but not essential. What They Offer The chance to shape a growing Data Science function and influence technical direction High-impact, customer-facing projects with clear routes into production Strong long-term progression as the data and AI capability continues to scale How to Apply Apply now to learn more about this Mid-Level Data Scientist opportunity and how it could fit into your next career move.

Prestigious opportunity for a talented and experienced Senior Java Developer to join a fast growing technology and transformation team delivering innovative, large-scale engineering solutions.This role sits at the intersection of technology, data, and AI, working on some of the UK's most ambitious digital programmes. You'll play a key role in designing and building modern, scalable applications that help organisations make smarter, data driven decisions.Collaborating within mature, cross-functional teams, working alongside engineers, architects, and business stakeholders to create impactful, future ready solutions. Key Responsibilities Design, develop, and maintain high-quality Java based applications Contribute across the full software development lifecycle Provide technical input into architecture and system design Build secure, scalable RESTful APIs Collaborate with engineers, product teams, and stakeholders to deliver solutions Write clean, maintainable, and well documented code Troubleshoot and resolve complex production issues Continuously improve system performance, reliability, and security Stay up to date with emerging technologies and best practices If you possess a combination of some of the following skills, then LET'S TALK! Strong experience in Java development (plus exposure to Kotlin or Scala) Deep understanding of OOP principles, SOLID design, and design patterns Hands on experience with Spring Framework (Spring Boot, Spring MVC) Experience designing and securing RESTful APIs Experience with containerisation (Docker, Kubernetes) Familiarity with CI/CD tools (Jenkins, GitHub Actions, Bit bucket Pipelines) Strong experience with Git and version control strategies Experience working with cloud platforms (AWS, Azure, or GCP) Ability to monitor, diagnose, and improve application performance Strong understanding of secure coding practices Exposure to the following would be advantageous but not essential: - Messaging/streaming technologies (Kafka, SQS) Serverless technologies (e.g., AWS Lambda) Monitoring/logging tools (ELK, Splunk, Dynatrace) ORM technologies (JPA, Hibernate) API documentation tools (e.g., Swagger/OpenAPI) Test tools (Postman, Selenium, Axe) Exposure to AI-assisted development tools (e.g., GitHub Copilot) In return, you will be rewarded with a market leading benefits package and ongoing career development in a flexible, hybrid working environment. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Senior Data Engineer London Location London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday) Salary 70,000 to 80,000 dependent on experience Ref J13073 A fast-growing AI SaaS company is looking for a Senior Data Engineer to play a key role in building the data foundations behind its analytics and AI products. Working with complex, high-volume datasets, you will design and optimise the pipelines, models and data layers that power customer-facing solutions and machine learning applications. The Opportunity You will design, build and maintain scalable data pipelines that support a fast moving AI platform, working closely with product, analytics and machine learning teams to ensure data is accurate, accessible and trusted. You will be working with large volumes of imperfect and inconsistent data, solving complex challenges and improving data quality as the platform scales. The environment is modern and cloud based, with exposure to technologies such as Spark, Snowflake and BigQuery across AWS, GCP and Azure. You will have the opportunity to support and mentor other engineers, contribute to engineering standards and play an active role in shaping how the team works. The team is collaborative, supportive and values different perspectives. Engineers are encouraged to contribute ideas, challenge thinking and have a genuine impact on the direction of the platform. Key Responsibilities Design, build and maintain scalable data pipelines Own data pipelines from source through to production Work with complex and evolving datasets to create reliable outputs Improve data quality, performance and reliability as the platform grows Collaborate with product, analytics and machine learning teams Contribute to code reviews and engineering best practice Support and mentor other engineers What We Are Looking For Proven Python and SQL experience within production environments Experience delivering data transformation projects end to end Experience with Spark, Snowflake, BigQuery or similar technologies Solid experience working with AWS, GCP or Azure Comfortable working with complex, imperfect datasets Experience owning solutions from design through to deployment A collaborative approach and willingness to support others If you enjoy building the data foundations behind AI products and want to join a team where your ideas and contributions will be valued, this could be a great fit. Get in touch to learn more. Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity. Alternatively, you can refer a friend or colleague by taking part in our referral scheme. For each relevant candidate you introduce and we place, you will be entitled to our reward scheme. Datatech is one of the UK's leading recruitment agencies in analytics and the host of Women in Data. For more information, visit (url removed)