153 jobs found

Role: Data Scientist / Engineer Location: Remote / London - up to 1 day per week on-site Duration: 5 Months Day rate: 560 Inside IR35 Role Overview We are seeking an experienced Data Scientist with strong Data Engineering capabilities to support the Digital Screening programme. This role will play a key part in shaping a new digital screening service by leading exploratory analysis and supporting the development of high-quality dashboards and reporting products. You will work within a multidisciplinary Agile team, collaborating with Data Engineers, Analysts, and User-Centred Design (UCD) professionals to deliver robust, data-driven insights and scalable data solutions. Key Responsibilities Lead exploratory data analysis (EDA) to inform dashboard design and reporting outputs Define data requirements and determine appropriate dashboard content Identify and mitigate data quality risks and ensure data integrity Design, build, and maintain reusable data pipelines and datasets using Python and PySpark Develop and test datasets used in BI dashboards and reporting products Work with stakeholders to translate business needs into data solutions and insights Collaborate within an Agile delivery team, contributing to sprints, stand-ups, and planning sessions Apply modern engineering best practices including CI/CD, TDD, and DevSecOps Engage in pair programming and adhere to collaborative coding standards Essential Skills & Experience Strong hands-on experience with Python and PySpark Solid background in exploratory data analysis and data modelling Experience with Palantir platforms, ideally including the NHS Federated Data Platform (FDP) Proficiency with BI and data platforms such as Redshift, Databricks, or similar Experience building and validating datasets for dashboards and reporting Strong understanding of data pipelines, data quality, and governance principles Proven ability to work independently in Agile environments Experience collaborating with multidisciplinary teams, including UCD professionals Excellent communication and stakeholder management skills Familiarity with DevSecOps, CI/CD, and TDD practices Experience with pair programming and collaborative development approaches Desirable Skills Experience working within the NHS or wider public sector Familiarity with screening programmes or clinical data systems If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Senior AI Engineer Manchester A growing technology-led business is seeking a Senior AI Engineer to play a pivotal role in shaping and delivering its AI strategy. This is a senior-level, hands-on position responsible for designing, building, and deploying enterprise-grade AI solutions that drive measurable business value across the organisation. Working closely with IT, Data, Engineering, and senior business stakeholders, you will lead the development and implementation of advanced AI solutions, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Machine Learning, and Azure AI services. You will provide technical leadership, establish best practices, and help build the organisation s long-term AI capability. The business is investing heavily in AI and is looking for someone who can combine deep technical expertise with strategic thinking, taking solutions from concept through to production deployment and adoption. The ideal candidate will have a strong foundation in AI Engineering combined with a robust Data Science background, enabling them to develop, evaluate, and optimise AI solutions that deliver measurable business outcomes. This role would suit an experienced AI professional who enjoys solving complex business challenges, mentoring others, influencing technical direction, and delivering innovative AI solutions at scale. Role Purpose As a Senior AI Engineer, you will lead the design, development, deployment, and optimisation of enterprise AI solutions, ensuring they are secure, scalable, maintainable, and aligned to business objectives. You will act as a subject matter expert for AI technologies, helping to define architecture, establish standards, and guide the organisation s AI roadmap while remaining hands-on with implementation. Key Responsibilities Design, develop, and deploy advanced AI and Machine Learning solutions to solve complex business challenges. Lead the architecture and implementation of production-grade AI applications using LLMs, RAG pipelines, AI Agents, and Azure AI services. Provide technical leadership across AI initiatives, ensuring solutions follow best practices for scalability, security, performance, and governance. Own the full AI development lifecycle, from discovery and proof-of-concept through to production deployment and business adoption. Develop and optimise AI models, prompt engineering frameworks, vector databases, and retrieval systems. Design and implement AI agent architectures, workflow automation, and API integrations. Collaborate with Infrastructure and Engineering teams to deploy AI solutions securely within enterprise environments. Ensure solutions leverage Private Endpoints, secure networking, identity management, and enterprise-grade governance controls. Establish monitoring, evaluation, and observability frameworks for AI systems, including hallucination detection, model drift monitoring, performance tracking, and cost optimisation. Partner with operational and commercial stakeholders to identify high-value AI opportunities and define business cases. Measure and report on AI project outcomes, including efficiency gains, automation benefits, cost savings, and customer experience improvements. Mentor and support other technical team members, promoting AI best practices and knowledge sharing across the organisation. Contribute to the development of the organisation s AI strategy, roadmap, and future capability. Required Experience Essential Significant commercial experience in AI Engineering, Machine Learning Engineering, Applied AI, or Data Science roles. Expert-level Python development skills and deep experience with modern AI/ML frameworks and SDKs. Proven experience designing and deploying production-grade RAG solutions and LLM-powered applications. Strong experience building and deploying AI agents, orchestration frameworks, and automated workflows. Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or equivalent enterprise AI platforms. Strong understanding of enterprise cloud architecture, including VNets, Entra ID, API Gateways, networking, and secure integrations. Experience deploying and managing AI workloads within production environments. Strong SQL and data engineering skills, working with both structured and unstructured datasets. Ability to translate complex datasets into actionable insights and AI-driven business solutions. Experience implementing AI governance, security, monitoring, and operational best practices. Excellent communication, leadership, stakeholder management, and problem-solving skills. Highly Desirable Strong Data Science background, with experience in statistical modelling, predictive analytics, feature engineering, experimentation, and model evaluation. Experience applying Data Science methodologies to solve complex business problems and identify opportunities for AI adoption. Experience with GenAIOps, LLMOps, MLOps, and AI observability platforms. Exposure to Computer Vision, OCR, Voice AI, Conversational AI, or multimodal AI solutions. Experience working within operational, retail, automotive, logistics, or customer-centric organisations. Knowledge of Responsible AI, AI governance frameworks, and regulatory considerations. Previous experience leading AI initiatives, mentoring engineers, or helping define AI strategy and roadmap. Experience building or contributing to an AI Centre of Excellence or internal AI capability function. What We're Looking For We're looking for someone who combines deep technical expertise with commercial awareness and a pragmatic approach to AI delivery. You'll be comfortable operating at both strategic and hands-on levels, engaging with senior stakeholders while also designing, developing, and deploying solutions yourself. You should be passionate about emerging AI technologies and have a track record of turning innovative ideas into production-ready solutions that create measurable business value. Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangement 3 days in the office / 2 days remote Opportunity to lead and shape enterprise AI capability Exposure to high-profile AI transformation initiatives Strong long-term career progression opportunities Ongoing investment in training, certifications, and professional development Interested? If you're an experienced AI Engineer or Data Science professional looking to take ownership of impactful AI initiatives and help shape the future direction of AI within a growing organisation, we'd love to hear from you. Apply now for the Senior AI Engineer opportunity in Manchester. Senior AI Engineer Manchester

Senior Data Engineer - Azure Central government Outside IR35 Remote 6 months + SR2 is working with a consultancy that is expanding its data engineering capability to support the delivery of a large-scale cloud data platform. They are looking for an experienced Data Engineer to help design and develop modern data solutions capable of handling complex, high-volume datasets. You'll join a multidisciplinary team responsible for developing and evolving a cloud-based data platform. Working across the full data lifecycle, you'll help shape how data is collected, processed, governed and consumed, while contributing to architectural decisions and engineering best practice. A significant proportion of the work involves processing complex location-based datasets, making previous exposure to geospatial or mapping-related data highly beneficial. Requirements: Strong commercial experience delivering data engineering solutions in Azure. Strong hands-on experience working with Azure Databricks Experience working with geospatial, mapping or location intelligence datasets Central UK government experience within recent 5 years Experience developing large-scale distributed data processing workloads. Strong Python and SQL development skills. Experience working with Spark-based technologies. Knowledge of modern cloud data platform patterns and architectures. Experience building and supporting automated data pipelines. Familiarity with CI/CD practices and modern software engineering principles. Strong troubleshooting and performance optimisation skills. Details Outside IR35 450 a day Remote based 6 month contract Strong likelihood of extension Please apply with a copy of your CV and Emma from SR2 will contact potential applicants regarding next steps.

We are working closely with a well-established UK SaaS business operating at scale, serving enterprise customers across regulated industries worldwide. Their newly formed Platform Engineering Group (2 x teams of 3+, serving a larger Engineering function of 50+ globally, across 3 main product streams!) is building the internal developer platform that engineering teams rely on to build, ship, and run their software and they are looking for a Platform focused S oftware Engineer to help shape it from the inside. Location: UK, fully remote (occasional team days in London HQ). Salary: £80,000 to £85,000 depending on experience, plus 10% bonus and an extensive benefits package . Contract type: permanent. Job title: Platform Software Engineer. Some other titles that may suit: Software Engineer, Platform. Developer Experience Engineer. Software Engineer - Developer tooling. What you'll be doing Designing and building internal developer tooling, templates, and scaffolding that make the right way to build software the easy way. Building and maintaining CI/CD pipelines that are reliable, observable, and a pleasure to work with. Owning IaC for the platform layer - writing production-grade infrastructure code rather than clicking through consoles. Collaborating directly with engineers, architects, and stakeholders to understand pain points and deliver tooling that genuinely moves the needle. Setting patterns and standards that other engineers will build on - treating developer experience as a product with internal teams as your users. What you need to bring Strong software engineering foundations with real depth in at least one language and considered views on testing - unit, integration, and contract as a first-class part of shipping software (Any language: Java, C#, Go, Python, Typescript / JavaScript) Hands-on experience designing and building CI/CD pipelines, ideally with GitHub Actions, and a track record of building tooling or automation that other engineers depend on. Experience with IaC: Terraform, Pulumi, CloudFormation, or CDK and comfortable running containerised workloads in production. To be clear: this is NOT a traditional "DevOps" role! (Some elements, but we have whole other teams for this) AWS experience is a strong plus, as is exposure to continuous release practices and progressive delivery. Why you ll love this job You will be in at the start - a pattern-setting role in a newly formed group, with real influence over how a global SaaS engineering organisation builds and ships software. A benefits package built around looking after people: private health insurance, income protection, life assurance, subsidised gym, pension, 25 days holiday plus your birthday off. A culture that backs continuous improvement. If you can see a better way to do something, you will be encouraged to say so and given the space to make it happen. If you are a software engineer who wants to make a real difference to how engineering teams work, we would love to hear from you. Apply now with your CV or professional profile.

Developing cloud infrastructure to facilitate healthcare research London, remote or hybrid Use your AWS expertise to build secure and scalable cloud infrastructure that will facilitate research and development within the healthcare sector! This company's diagnostics visualisation platform allows medical researchers to visualise and analyse clinical data in order to develop new treatments that will massively improve the lives of patients. Key to this is the creation of secure multi-tenant and multi-region storage solution that allows swift and secure access to various types of data. Data security and integrity is of paramount importance, and the solution needs to be compliant with healthcare industry software standards. This role calls for strong AWS skills, rapid application development, and software development skills, a solid understanding of security aspects. You will also need excellent communication, collaboration, and organisational skills. Of prime importance is that you take a holistic, not just technical, view, and be proactive in reaching out to colleagues and clients to fully understand the product's requirements, stakeholders, and how it sits within the company's broader mission of creating world-leading software tools to further medical research. Reporting directly to the Technical Product Lead, you'll be contributing to product architecture, designing and implementing services, and data pipelines; developing automated testing and CI/CD infrastructure. You will need: A 1st or 2.1 in Computer Science, Engineering, or a similarly relevant discipline, and substantial commercial software engineering experience; to be au fait with Agile ceremonies, version control, and CI/CD, and software testing. Solid expertise in developing and deploying microservices on AWS; knowledge of Infrastructure-as-Code; DevOps, and experience with NoSQL databases. Demonstrably good coding skills, ideally in Java and / or Python; knowledge of RESTful APIs and service integration patterns and security frameworks such as OAuth 2.0 or OpenID Connect (OIDC). You must have full, existing, and unrestricted right to work in the UK. Not essential, but the following would be a bonus: Skills in containerisation/orchestration (Docker, Kubernetes etc.); IaC; DynamoDB; Spring Boot and Gradle; knowledge of standards such as ISO 13485 or IEC 62304. This role is predominantly remote, with occasional attendance of the company's London office - you will therefore need to be based in the UK within a convenient travel distance. The role features an excellent salary, benefits package, and an option scheme. This is a great chance to make your mark in a company focussed on improving people's lives. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27559 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

JOB DESCRIPTION The Azure Software Engineer (AI) , working in a multi-disciplined team, requires a broad range of technical and soft skills to deliver intelligent cloud solutions effectively. These skills are categorised into the following domains: Engineering & AI Development Skills AI engineering is the core domain. Engineers are responsible for building, integrating, and operationalising intelligent solutions. AI-Driven Application Development - Design and build applications enhanced with AI capabilities using Azure OpenAI, Azure AI Services, and Azure Machine Learning Generative AI Implementation - Develop solutions leveraging large language models (LLMs), prompt engineering, embeddings, and retrieval-augmented generation (RAG). Machine Learning Integration - Integrate trained models into production systems using Azure ML endpoints and APIs. API Design & AI Integration - Build and expose APIs that integrate AI services into wider enterprise platforms. Data Pipeline Development - Design and implement pipelines for ingesting, processing, and transforming data for AI workloads. Model Operationalisation (MLOps) - Implement processes for versioning, deployment, monitoring, and life cycle management of ML models. Responsible AI - Ensure fairness, transparency, explainability, and governance in AI solutions. Azure Platform & AI Services Skills Strong knowledge of Azure's AI ecosystem and cloud platform is essential: Azure AI Services Expertise - Hands-on experience with Azure OpenAI, Cognitive Services, Azure Machine Learning, and AI Search. Cloud Architecture for AI - Design scalable AI architectures including data ingestion, model serving, and Real Time inference. Data Services - Work with Azure data platforms (Azure Data Lake, Synapse, Cosmos DB) to support AI workloads. Identity & Security - Secure AI systems using Azure AD, Managed Identities, and data protection best practices. Monitoring & Observability - Monitor models and applications using Application Insights and Azure Monitor, including model drift detection. Cost Optimisation - Manage and optimise AI workloads to balance performance with cost, especially for compute-intensive models. Human Skills Working in a multi-disciplinary AI team requires strong interpersonal capabilities: Problem Solving - Diagnose issues across AI models, data pipelines, and cloud infrastructure, identifying root causes effectively. Collaboration - Work closely with data scientists, data engineers, architects, and business stakeholders. Knowledge Sharing - Share AI and engineering knowledge across teams to build organisational capability. Adaptability - Keep up with rapidly evolving AI technologies, tools, and Azure capabilities. Technical Skills A strong technical foundation across software engineering, data, and AI is required: Programming Languages - Proficiency in languages commonly used in AI and cloud development (eg, Python, C#, JavaScript). AI/ML Frameworks - Familiarity with frameworks such as PyTorch, TensorFlow, or scikit-learn. Azure Cloud Platform - Deep expertise in Azure, particularly AI and data services. Containers & Kubernetes - Experience deploying AI workloads using Docker and Azure Kubernetes Service (AKS). Databases & Storage - Design and optimise both structured and unstructured data storage solutions. Version Control & CI/CD - Use Azure DevOps or GitHub for code, model versioning, and automated deployment pipelines. Data Engineering Foundations - Understanding of ETL/ELT processes and large-scale data processing. Multi-discipline Enabling Skills AI projects require cross-functional awareness: AI Operations (MLOps) - Manage AI solutions in production, including monitoring, retraining, and scaling. Security & Compliance - Ensure data privacy, regulatory compliance, and secure handling of sensitive AI data. Application Lifecycle Management - Contribute across the life cycle from experimentation to deployment and support. Architecture Collaboration - Work with architects to design scalable and responsible AI systems aligned to Azure best practices. Process & Framework Knowledge Modern AI engineering relies on structured processes and frameworks: Agile - Deliver AI features iteratively, incorporating feedback and experimentation. Scrum - Active participation in sprint delivery and planning cycles. DevOps & MLOps - Combine CI/CD with model life cycle management and data pipeline automation. Azure Well-Architected Framework - Apply principles across performance, reliability, security, and cost optimisation. Responsible AI Frameworks - Apply ethical AI principles and governance standards throughout development. SRE Principles - Ensure reliability and scalability of AI systems in production. Remote working with occasional meetings in either Reading or Warton. Inside IR35 £86-100/hr 10 months Contract UK eyes only, so must be British National with Sole British passport Must have active SC Security Clearance

Software Engineer - AI & Business Solutions Salary: £40,000-£60,000 + Bonus + Benefits Location: UK Remote or Hybrid Type: Permanent The Opportunity Our client is seeking a Software Engineer to join a growing technology team focused on solving business challenges through software, automation and AI. This is a highly varied role combining hands-on engineering with business engagement. Approximately 60% of your time will focus on designing, building and delivering software solutions, with the remaining 40% spent working directly with stakeholders across finance, operations and other business functions to understand challenges and identify opportunities for improvement. You'll take ownership of problems from discovery through to delivery, running workshops, gathering requirements and developing practical technology solutions that create measurable business impact. Working in small, autonomous teams, you could be developing an internal application one day and collaborating with senior stakeholders to redesign a process or explore AI-driven automation opportunities the next. The role is fully remote or hybrid depending on preference, with occasional travel to UK offices for workshops and collaboration. Key Responsibilities Software Engineering & Delivery (60%) Design, develop and deploy scalable software, integrations and automation solutions. Build systems that improve efficiency, accuracy and user experience. Leverage AI technologies and AI-assisted development tools to accelerate delivery. Own projects across the full software development life cycle. Contribute to engineering standards, tooling and best practices. Business Engagement & Consulting (40%) Work with stakeholders to understand challenges and identify opportunities. Facilitate discovery sessions, workshops and requirements gathering. Analyse processes and recommend improvements using software, automation and AI. Translate business needs into scalable technical solutions. Build trusted relationships and measure the impact of delivered solutions. About You You're an experienced software engineer who enjoys solving business problems as much as writing code. You're comfortable engaging with both technical and non-technical audiences, working in ambiguous environments and turning conversations into effective solutions. You're curious about AI, automation and emerging technologies and excited by the opportunity to influence how technology is adopted across an organisation. Essential Skills & Experience 3+ years' professional software engineering experience. Strong programming skills in Python, JavaScript/TypeScript, Java, C++ or similar. Experience building and deploying production-grade software. Practical use of AI tools and technologies to improve productivity or deliver solutions. Ability to identify opportunities for AI and automation within business processes. Strong stakeholder management, communication and problem-solving skills. Experience working across the full software development life cycle. Ability to work independently with a high degree of ownership. Willingness to travel occasionally to UK offices. Desirable Experience Experience working with finance, operations or other business-facing teams. Delivery of automation, transformation or process improvement initiatives. Exposure to systems integration, data engineering, Business Intelligence or cloud platforms. Consulting, business analysis or solution design experience. Personal projects, open-source contributions or experimentation with AI. What's On Offer £40,000-£60,000 salary depending on experience. Discretionary bonus scheme. Remote or hybrid working options. Pension, life assurance and wellbeing benefits. Ongoing professional development. High levels of autonomy and ownership. Direct exposure to senior stakeholders. The opportunity to shape the organisation's adoption of AI and emerging technologies. Interested? If you're a software engineer who enjoys combining technology, AI and business problem-solving to deliver meaningful change, we'd love to hear from you. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

Senior Backend Python Developer (Contract) Contract: Rolling 3-Month Contract Location: Fully Remote (UK Based Only) Rate: 300 per day IR35 Status: Outside IR35 Start Date: ASAP Please note: Applicants must be based in the UK. Sponsorship is not available for this position. The Opportunity We're working with a growing technology-driven organisation looking for a strong Senior Backend Python Developer to join their engineering team on an initial 3-month contract with a high likelihood of extension. This is a hands-on backend-focused role where you'll be responsible for designing, developing, and maintaining scalable services, APIs, and integrations that underpin critical business applications. You'll be working closely with architects, product teams, and fellow engineers to deliver high-quality solutions in a fast-paced Agile environment. The ideal candidate will be an experienced Python developer with a strong understanding of modern backend engineering principles, cloud-native development, and API design. Key Responsibilities Design, develop, and maintain scalable backend applications and services using Python Build and optimise RESTful APIs and microservices Develop integrations between internal and third-party systems Write clean, maintainable, and well-tested code Participate in technical design discussions and architectural decisions Troubleshoot, debug, and resolve complex technical issues Contribute to CI/CD pipelines and deployment processes Collaborate with product, engineering, and DevOps teams to deliver high-quality solutions Perform code reviews and champion engineering best practices Support ongoing improvements to performance, scalability, and security Required Skills & Experience Strong commercial experience developing backend applications using Python Experience building scalable APIs and distributed systems Strong understanding of software engineering best practices and design patterns Experience with relational databases such as PostgreSQL or MySQL Experience working with cloud platforms (AWS, Azure, or GCP) Familiarity with Docker and containerised deployments Experience with Git and collaborative development workflows Understanding of CI/CD pipelines and automated testing Experience working within Agile delivery environments Strong problem-solving and debugging skills Desirable Experience Experience with FastAPI, Django, or Flask Exposure to event-driven architectures and messaging technologies Experience building data-intensive applications Knowledge of infrastructure-as-code practices Bonus Skills Any commercial or personal experience with AI, Machine Learning, Generative AI, or Large Language Models (LLMs) would be highly beneficial, including: Integrating LLM APIs into applications Building AI-powered features or workflows Experience with OpenAI, Anthropic, Azure AI, LangChain, LlamaIndex, or similar technologies Retrieval-Augmented Generation (RAG) solutions AI agents and workflow automation What's on Offer 300 per day Fully remote working Outside IR35 engagement Rolling 3-month contract with extension potential Opportunity to work on modern technology and scalable systems Immediate interview and start process Please note: Candidates must be UK-based and have the unrestricted right to work in the UK. Sponsorship is not available.

Cyber Security Engineer - Sentinel 6 months Remote/London - 2 days a week £Negotiable - INSIDE IR35 We are seeking an experienced Security engineer to join our high performing dynamic Proactive Security team. The ideal candidate will have hands-on experience with security technologies, tooling and processes. Skills Required: Proven experience in cybersecurity engineering, with hands-on expertise in Microsoft Security Stack (Defender for Endpoint, Defender for Identity, Microsoft Sentinel, Purview, etc.) and Cyberark. Good knowledge of incident detection and response, and threat intelligence. Proficiency in automation, API development, and Scripting languages (PowerShell, Python preferred). Experience in tool integration, performance tuning, and enterprise-scale deployments. 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.

Platform Engineer - Active SC, Databricks, Trivy, Azure DevOps Up to £510 per day - Inside IR35 Remote 6 months My client is an instantly recognisable consultancy who urgently require a Platform Engineer with Active SC Clearance for an end client within the public sector. Key Requirements: Proven commercial experience working as a Platform / DevOps Engineer within the public sector. Active SC Clearance. Strong, commercial experience with Terraform for IaC, and with Databricks. Proven track record configuring and managing Azure DevOps CI/CD pipelines. Deep understanding of Azure cloud services and components. Some experience using Databricks Practical experience with Docker containerisation. Knowledge of security scanning tooling (Trivy or similar). Scripting proficiency in Bash (Python is desirable). Solid understanding of Git-based version control, specifically within Azure DevOps. Nice to have: 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

PRINCIPAL AI CONSULTANT Remote role with travel to client sites as required Lead the delivery of enterprise-scale AI solutions for a growing consultancy Highly client-facing role with influence across strategy, architecture, and delivery Work with Azure AI Foundry, Databricks, MLOps, and cutting-edge agentic AI technologies ABOUT THE CLIENT We're partnering with a growing consultancy at the forefront of AI and data innovation, helping organisations unlock greater value through modern engineering and intelligent solutions. Due to continued growth, they are looking for a Principal AI Consultant to join the business and play a key role in shaping both client solutions and the wider AI capability. This is a highly consultative position suited to someone who is confident operating in client-facing environments and able to build trust quickly with senior stakeholders. THE BENEFITS Remote working with travel to client sites as required Opportunity to lead and grow a high-performing AI engineering team Exposure to cutting-edge AI technologies, including LLMs and agentic frameworks Work across a broad range of industries and enterprise-scale projects Strong focus on learning, innovation, and career progression Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping clients navigate complex AI initiatives with confidence. This role requires someone who can simplify highly technical concepts, guide conversations with clarity, and create confidence amongst both technical and non-technical stakeholders. You will lead workshops, shape AI strategies, influence delivery decisions, and ensure solutions are scalable, secure, and commercially valuable. Alongside hands-on engineering leadership, you will mentor teams, define best practices, and help grow the wider AI capability. The successful candidate will be someone who naturally puts stakeholders at ease, commands credibility in the room, and thrives in environments where communication and relationship-building are just as important as technical expertise. PRINCIPAL AI CONSULTANT - ESSENTIAL SKILLS Previous experience working within a consultancy or client-facing environment Exceptional communication and stakeholder engagement skills Ability to influence and build trust with senior business and technical stakeholders Proven experience delivering AI solutions into production Strong Python/software engineering background Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms Strong understanding of MLOps, CI/CD, observability, and production AI delivery Experience leading engineering teams and mentoring technical professionals Ability to lead workshops, shape solutions, and support decision-making in complex environments TO BE CONSIDERED Please either apply through this advert or email me directly via By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Consulting, AI Engineering, Stakeholder Management, Python, Azure AI Foundry, Databricks, MLOps, AWS SageMaker, Bedrock, Machine Learning, Cloud, AI Strategy, Technical Leadership

The Opportunity: We are currently seeking an experienced Data Engineer to join a high-profile data transformation programme, helping to build and enhance a modern cloud-based data platform using Azure technologies, who combines strong Azure Databricks expertise with modern data engineering practices and a passion for solving complex data challenges. This role will focus on designing and developing scalable data engineering solutions within Azure Databricks, supporting the creation of robust data pipelines and contributing to the evolution of a modern Lakehouse architecture. The successful candidate will also work extensively with geospatial datasets, making this an excellent opportunity for engineers with experience in spatial data processing and geospatial analytics. Working within a collaborative Agile delivery environment, you will partner closely with stakeholders, product owners and technical teams to deliver high-quality, scalable and maintainable data solutions that support critical business and analytical requirements. If you're an experienced Data Engineer with strong Azure Databricks expertise and experience working with geospatial data (ideally within the Public Sector), we'd love to hear from you. Skills and Experience: Strong commercial experience working as a Data Engineer within Azure cloud environments. Proven hands-on expertise with Azure Databricks in enterprise-scale production environments. Strong programming skills using: Python / SQL / PySpark / Spark SQL. Experience designing and building scalable data pipelines and data processing frameworks. Strong understanding of modern Lakehouse architecture principles. Experience working with: Unity Catalog / Databricks Workflows / Delta Live Tables / Databricks SQL. Experience integrating data from APIs and external data sources. Strong understanding of data modelling, data quality and performance optimisation techniques. Experience working within Agile software delivery environments. Geospatial Experience Candidates should have experience working with geospatial datasets and technologies, including: Shapefiles GeoParquet GeoPackage GeoTIFF Spatial data processing and transformation techniques Geospatial analytics and data engineering workflows Experience with Apache Sedona or similar geospatial processing frameworks is highly desirable. Role and Responsibilities: Collaborate with stakeholders, product owners and technical teams to understand data requirements and translate them into scalable engineering solutions. Design, develop and maintain high-performance data pipelines using Azure Databricks, PySpark, Spark SQL and Python. Contribute to the design and implementation of Lakehouse architecture using Delta Lake and Databricks best practices. Develop and manage data workflows using Databricks Workflows and Delta Live Tables. Utilise Unity Catalog to support effective governance, security and data discovery. Develop analytical and reporting datasets using Databricks SQL. Ingest, transform and process data from APIs and a variety of structured, semi-structured and geospatial data sources. Apply geospatial processing techniques to support data integration, analysis and business requirements. Write clean, maintainable and well-tested code in line with engineering best practices. Participate in Agile ceremonies, technical design discussions, code reviews and sprint planning activities. Support data quality, performance optimisation and operational monitoring across data pipelines. NB: The successful candidate will be required to undergo a basic level of security clearance before undertaking the assignment (around two weeks lead-time). Applications: To learn more about this newly created opportunity consulting as an Azure-focused Data Engineer for an initial 6 month engagement, operating on a remote-working basis; please call and speak with Edward Laing here at ISR Recruitment or please send through a copy of your latest online profile and/or CV for an immediate call back in the strictest of confidence.

WCS Software Architect Overview We are seeking a hands-on Software Architect to play a key role in shaping and evolving a mission-critical Warehouse Control System (WCS) used in highly automated logistics environments. This platform sits at the heart of real-time operations, orchestrating material flow across conveyor systems, integrating with PLC controls, robotics (AMR/AGV), and upstream enterprise platforms such as WMS and ERP. This is a highly technical position where you will set architectural direction, make critical design decisions, and remain close to the code and engineering challenges . You will work alongside an existing architecture function to scale capability as the platform transitions to a modern .NET / Blazor-based ecosystem from its current Python/Django foundation. Key Responsibilities Architecture & Technical Leadership Define and evolve the architecture across application, data, messaging, and deployment layers Lead the design of complex features and subsystems, producing clear design artefacts and architecture documentation (including ADRs) Make key technical decisions across persistence, messaging, caching, and integration patterns Ensure solutions meet non-functional requirements including performance, scalability, availability, and security Troubleshoot and resolve complex system issues, including concurrency, bottlenecks, and integration failures Systems Integration Own and define integration patterns between the WCS platform and external systems including PLCs, WMS, ERP, and robotics platforms Design robust, scalable messaging and API-based interfaces Ensure resilience through clear contract definitions, error handling, and recovery strategies Support emulation and pre-deployment validation approaches to reduce risk Client-Facing & Delivery Support Act as a technical authority in client workshops, design reviews, FAT/SAT, and commissioning phases Provide support during go-live activities, including system tuning, troubleshooting, and stabilisation Collaborate with delivery and project teams to ensure integration success Maintain a calm, solution-focused approach in high-pressure live environments Technology Strategy & Governance Contribute to architectural standards, coding guidelines, and design governance Evaluate new tools and technologies, making evidence-based recommendations Ensure alignment between business requirements, architecture decisions, and delivered solutions Drive best practices across performance, observability, and system resilience Collaboration & Mentoring Work closely with product, development, test, and controls engineering teams Provide visibility of architectural direction, risks, and readiness to stakeholders Mentor and support engineers, raising overall technical capability within the team Promote a culture of high-quality engineering and continuous improvement Skills & Experience Required Proven experience as a Software Architect or a senior/lead engineer stepping into architecture Strong expertise in C# / .NET and modern application development practices Experience designing distributed systems, microservices, and high-performance applications Solid background in system integration (APIs, messaging, event-driven architecture) Exposure to industrial systems, warehouse automation, WCS/WMS, or similar environments Experience working with PLCs, robotics, or real-time control systems (desirable) Knowledge of CI/CD, containerisation (Docker/Kubernetes), and Linux-based environments Strong problem-solving ability, with experience in performance tuning and scalability challenges Excellent communication skills with the ability to engage both technical and non-technical stakeholders Working Environment Fully remote role with flexibility in working patterns Involvement in occasional onsite activities during key project phases such as system go-lives and commissioning Collaborative, engineering-led environment focused on delivering high-quality, real-world solutions Opportunity to work on a platform undergoing significant modernisation and growth What We're Looking For A hands-on technical leader who takes ownership of architectural outcomes Someone pragmatic, detail-oriented, and confident in making decisions A strong collaborator who can work across disciplines and teams An individual who can balance long-term architectural vision with delivery priorities A professional who thrives in complex, real-time, integration-heavy environments To find out more about Computer Futures please visit (url removed) Computer Futures, 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

Engineering Manager - £100K Adria Solutions has an exciting opportunity for an experienced Engineering Manager to join our growing client. This role is ideal for a hands-on technology leader who enjoys building high-performing engineering teams while driving the delivery of scalable, high-quality software solutions within a fast-paced Agile environment. As Engineering Manager, you will combine strong technical expertise with people leadership, mentoring, and delivery management skills. You will play a key role in shaping engineering standards, supporting team growth, and ensuring successful product delivery as the business continues to scale. We are looking for candidates with a strong background in Java,Go, Python. You will be passionate about engineering best practices, team development, and continuous improvement. The Engineering Manager will be responsible for: Leading and mentoring a team of software engineers within an Agile delivery environment Supporting the development and delivery of scalable software solutions Driving engineering best practices, code quality, and continuous improvement initiatives Collaborating with Product, Architecture, and wider business stakeholders Supporting existing systems while helping deliver new platform capabilities Coaching and developing engineers through mentoring, reviews, and technical leadership Managing delivery priorities and helping remove blockers for the team The Engineering Manager will have: Strong software engineering background in C#, Java, Python, or Go Previous experience leading or managing engineering teams Experience working with cloud platforms such as AWS Knowledge of Infrastructure as Code tools such as Terraform Experience with TDD and automated testing practices Strong stakeholder management and communication skills A collaborative leadership style with the ability to motivate and develop teams Experience working with distributed or remote teams would be beneficial Good experience with AI Benefits for the Engineering Manager: Hybrid working 3 day office / 2 days remote Childcare Vouchers 28 days holiday + your birthday off Interested? Please Click Apply Now! Engineering Manager - £100K

Senior Software Engineer (AI Products) London Remote-first Greenfield AI Native Product Development Location: London (remote-first - in office 1x a fortnight) Salary: 90,000 - 110,000 Tech stack: Flexibility with technical background, provided candidate is fluent in modern technologies such as: Python Golang Modern JavaScript frameworks LLMs & AI Agents RAG & AI orchestration frameworks Must have strong AWS experience & high competence with Agentic coding tools This is an opportunity to help shape a new generation of AI native products from day 1. You'll be joining a well established technology company investing heavily in a new generation of AI native products, giving you the opportunity to work on greenfield initiatives without the funding uncertainty, chaos, or risk that often comes with an early stage startup. They're looking for an experienced engineer who has already shipped AI powered systems into production and can operate with a high degree of autonomy. You'll join a small, experienced team where engineers are trusted to make decisions, move quickly, and own problems end to end, without layers of process or constant oversight. It's an adult environment that values outcomes over presenteeism, offers genuine flexibility, and gives engineers significant influence over product direction and architecture. What you'll be doing Building AI powered products and features from concept through to production Designing and developing AI agents that solve real business problems Working closely with product stakeholders to rapidly iterate and deliver value Using agentic development tools as a core part of your workflow Making pragmatic architecture decisions that balance speed with long term maintainability Deploying and operating cloud native applications in production Exploring new models, frameworks and approaches to keep products at the forefront of what's possible What they're looking for Strong software engineering foundations with proven commercial experience working across the stack Experience building and shipping production AI applications or AI agents Hands on experience with LLM APIs, RAG systems, orchestration frameworks, or similar AI technologies Strong architectural instincts and ability to make sound engineering decisions Experience working with AWS cloud infrastructure Why join? Opportunity to build greenfield AI native products High trust, low bureaucracy environment Significant ownership and influence over technical direction Strong investment in modern AI tooling and engineering practices Remote-first & flexible environment Interested and eager to help shape how software is built in an AI first world? Apply to this role or drop me an email at .

SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies "MDA", products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners. SRT is an exciting company where high-quality results are rewarded. We are ambitious and constantly seek to innovate in order to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work, where talented, hard-working individuals have the opportunity to make a real impact across the marine industry. We're seeking an experienced and versatile Senior Software Engineer - Sensors join our Edge Team. This is a rare opportunity to help define and deliver our cutting-edge Maritime Surveillance and Fisheries Monitoring solutions, working at the intersection of hardware, software, and advanced sensor technologies. About the role of Senior Software Engineer - Sensors - (not exhaustive): In the Edge Team, you'll work on the "sensors at the fringe" fixed and mobile surveillance equipment such as radars, cameras, RDF, AIS, and other specialist maritime sensors. Your mission as a Senior Software Engineer - Sensors will be to integrate, calibrate, and optimise these systems in non-production environments, building the software that makes their outputs usable for downstream systems and training our Delivery Team for field deployment. The role spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You'll work closely with colleagues across software, hardware, data science, and infrastructure to bring innovative, high-performance edge solutions to life. What You'll Be Doing - Senior Software Engineer - Sensors Design, develop, and maintain edge-sensor solutions focusing on performance, reliability, and scalability. Build test infrastructure to capture and analyse quality and performance metrics Work across the stack - UI, backend, robotics, device integrations, networking - learning new technologies as needed Collaborate with cross-functional teams to plan, build, and test complex functionality Diagnose and resolve technical issues through root cause analysis Automate SDLC processes to improve efficiency and reduce manual effort Produce and maintain technical documentation Mentor peers, contribute to code reviews, and promote collaborative working practices What You'll Bring - Senior Software Engineer - Sensors Strong engineering mindset with experience in one or more of: Microsoft .Net, GoLang, Python, C++, Rust. Broad exposure to remote sensing disciplines, including: Mathematics, physics, and geospatial mapping Working with sensor hardware and electronics Networking principles, protocols, and services Application development across embedded, desktop, and web platforms Video and radar signal processing (e.g., OpenCV) AI-based, hardware-accelerated image processing (e.g., YOLO) Familiarity with Enterprise Systems architecture Experience with version control systems (Git) and SDLC automation tools Excellent problem-solving, debugging, and collaboration skills Why Join Us? Work on mission-critical maritime surveillance systems used worldwide Be part of an ambitious, innovative, and supportive team making a direct impact on global maritime safety and sustainability Enjoy flexible hybrid working Competitive salary and benefits, including: Matched pension contributions up to 5% Private health care Development and training programmes SRT Marine Systems plc is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and welcome applications from all backgrounds.

Senior Scientific Data Scientist / Pipeline Engineer Fully remote but can be hybrid upon request.6 Month Contract likely to extendOutside IR35£450 to £500 per day This is a chance to work on scientifically meaningful software that directly supports real-world discovery. You will take ownership of analytical pipelines that sit at the heart of a data-driven research platform, collaborating closely with scientists to turn complex experimental data into reliable, scalable insights. The Company They are a technology-led life sciences organisation operating at the intersection of biology, automation, and data. The business builds platforms that generate high-quality experimental data at scale and uses advanced analytics to accelerate scientific discovery. With a strong emphasis on rigour, reproducibility, and collaboration, they bring together engineers and scientists to solve complex research challenges. The Role and Deliverables Design, build, and maintain Python-based analytical pipelines for a range of experimental and bioassay data. Implement robust statistical and modelling workflows, including quality control, normalisation, and curve fitting. Translate scientific workflows into reproducible, automated analysis processes. Partner closely with laboratory-based scientists to understand experimental design and data requirements. Improve data structures and analysis readiness across the platform. Contribute to clear documentation and well-engineered, production-ready code. Your Skills & Experience Strong experience using Python for scientific or analytical software development. Proven capability analysing complex, structured experimental or assay-style datasets. Solid understanding of statistical modelling, curve fitting, and data quality control. Experience building end-to-end data or analysis pipelines with a focus on reproducibility. Comfortable using version control and applying sound software engineering practices. Able to communicate clearly with both technical and scientific stakeholders. How to Apply If you feel this role aligns with your skillset and would like to apply, please click the link below