Junior Data Engineer - Public Sector Contract: Initial 7 months (extension possible) Rate: £310 per day, Inside IR35 Location: Remote with travel to Waterloo (2-3 days per month) Security Clearance: SC‑eligible (5 years UK residency required) I am working with a key consultancy delivering a major UK public sector programme and are looking for a Junior Data Engineer / Scientist to join a mixed delivery team building and operating secure, reliable data platforms that support critical public services.This role is designed for someone early in their data career who wants to develop strong engineering fundamentals in a real production environment. The role - a junior, generalist data engineering position. This is an engineering‑led role, not a specialist or senior position. The team is ideally looking for a generalist in their first few years within data engineering or data science, who is building breadth across data platforms, pipelines and operations. You'll focus on: \* Designing, building and maintaining data pipelines \* Supporting the operation of data lakes and data warehouses \* Implementing and improving ETL / ELT processes \* Using Python and SQL to transform, validate and move data \* Working with analysts and developers to turn data requirements into technical solutions \* Monitoring data quality, documenting data models and lineage, and resolving issues \* Automating data workflows and operational tasks \* Participating in Agile delivery, sprint work and collaboration \* Supporting incidents and helping improve platform reliability over time \* Working within public sector data governance, security and privacy standards This role offers exposure to how data platforms are built, operated and supported in a regulated environment - forming the foundations of a long‑term data engineering career. What this role is not To avoid misalignment, it's important to be clear about what this role is not focused on: \* ❌ Not a Data Analyst role \* ❌ Not a Power BI / dashboard developer role \* ❌ Not an insight, reporting or MI position \* ❌ Not a modelling, ML or research‑focused role \* ❌ Not an LLM, AI or advanced data science role While you may work alongside analysts and data scientists, this role does not centre on: \* Building dashboards \* Producing insights or reports \* Statistical modelling \* Predictive or machine learning solutions The emphasis is on data engineering foundations and platform delivery. Ideal candidate profile This role is best suited to someone who: \* Is in their first few years of a data engineering or data science career \* Wants to build core engineering skills rather than specialise immediately \* Has hands‑on experience with SQL and Python \* Understands basic data modelling and ETL concepts \* Is comfortable learning through delivery in a production environment \* Is interested in how data platforms work end‑to‑end, including operations and support \* Is keen to grow within public sector data platforms Who this role is unlikely to suit This role is unlikely to be appropriate for candidates who: \* Are very senior data engineers or architects \* Have primarily worked in advanced ML, AI, or research‑focused roles \* Are specialised Power BI, reporting or MI developers \* Are looking for a role centred on analysis, insights or modelling \* Are seeking leadership, ownership of platform strategy, or advanced optimisation work Applications that demonstrate significant seniority or deep specialisation rather than junior‑to‑mid generalist experience may not be progressed. Required skills and experience Your CV should clearly demonstrate: \* A degree in a technical discipline (Computer Science, Data Science, Mathematics or similar) \* Hands‑on experience with SQL \* Experience using Python, Java or Bash \* Understanding of ETL processes and data modelling fundamentals \* Experience with version control (e.g. Git) \* Comfort working in Agile / DevOps environments \* Awareness of data security and privacy \* Eligibility for UK SC clearance Nice to have (but not essential) \* Exposure to AWS, Azure or GCP \* Familiarity with tools such as Airflow, dbt, Spark \* Awareness of CI/CD pipelines or containerisation \* Experience in public sector or regulated environments Important note for applicants This role is deliberately positioned as a junior, generalist data engineering role. Please ensure your CV clearly demonstrates hands‑on data engineering fundamentals, rather than senior leadership, advanced AI/ML work, or analytics‑only experience. 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

Data Scientist - Operational & Optimisation-Focused AI £700+ per day | Inside IR35 | Long-term programme (2-3 years) I'm currently looking for Data Scientists to join a highly capable, collaborative team working on real operational problems at serious scale within a well‑established, commercially driven organisation.This is a role for someone who enjoys building things that actually run the business - not experiments that sit on a slide deck. You'll be working on postoptimization, decision‑making problems where the output of your models directly affects cost, performance, and customer outcomes every day. Location & Contract \* Rate: £700+ per day (Inside IR35, depending on experience) \* Contract: Rolling 6‑month contracts, with a realistic 2-3 year roadmap of work \* Working pattern: Hybrid - 2-3 days per week onsite in West London / Paddington area and West Drayton \* Start: ASAP (subject to onboarding) What the role is really about In this role, you won't be siloed away from the business. You'll be embedded alongside engineers and operational stakeholders, working on problems where data science is central to how decisions are made, not just how performance is reported.You will: \* Design and build optimisation, predictive, and prescriptive models that support live operational decision‑making \* Work on problems where multiple constraints, trade‑offs, and dependencies matter (cost, service levels, experience, risk) \* Take solutions from idea → model → production, and stay involved once they're live \* Iterate based on real‑world performance and business feedback, not theoretical metrics \* Explain why a model behaves as it does and help the business trust and use it A good way to think about this role: you are shaping the engine that runs day‑to‑day operations, not creating insights for someone else to interpret later. I'm particularly keen to speak to you if your background includes: \* Hands‑on data science using Python, ML Frameworks and modern tooling \* Experience with optimisation, simulation, machine learning, or advanced analytics applied to real systems \* Clear examples of models you've personally built and put into production, not just prototyped \* Working with engineers to deploy, monitor, and improve solutions over time \* Operating in commercial, corporate environments where decisions have financial and operational consequences Experience in supply chain, logistics, asset management, scheduling, or similar domains is useful - but what really matters is how you think about operational problems. Why this role is worth a conversation \* The work is meaty, operational, and genuinely impactful \* You'll be surrounded by people who understand and value good data science \* There's long‑term stability (not a short "fire‑and‑forget" contract) \* You get to see your work run at scale, improve, and evolve A quick but important note on CVs This is a specialist role, and CVs that read as academic, R&D‑only, or proof‑of‑concept‑focused tend not to land well. Please make sure your CV clearly shows: \* What you personally built \* How it was used in production \* What measurable impact it had on the business CVs that make that clear tend to stand out very quickly. If you enjoy solving hard, real‑world problems and want your models to matter, I think this is well worth exploring.If you'd like to talk it through, I'd be very happy to have a conversation. 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

Job Title: Data Scientist, Artificial Intelligence Collaboration Centre (AICC) - 2 postsDepartment/School: School of Computing, Engineering and Intelligent SystemsCampus: Derry~Londonderry or BelfastSalary: £48,822 per annumDuration: Fixed-Term until 31st August 2029 / Full-timeClosing Date: 11th May 2026 at 23:30Reference Number: 042226- ABOUT US -We are a university with a national and international reputation for excellence, innovation and regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland.Our core business activities are teaching and learning, widening access to education, research and innovation and technology and knowledge transfer.- THE ROLE -The postholder will be a full-time Data Scientist for the Artificial Intelligence Collaboration Centre (AICC), a collaboration between Ulster University (UU) and Queens University Belfast (QUB). They will be an integral part of a dynamic team, responsible for providing expertise in data science, leading and conducting high-quality data science research and development, and upskilling and training activities for the AICC.They will exemplify a strong partnership approach through collaboration with internal and external stakeholders. The successful candidate will be innovative, digitally savvy, highly organised, customer-centric and capable of developing and delivering training and AI solutions across a range of industries.We may create a 12-month waiting list for the same or similar roles within the Department / Faculty. The University reserves the right to extend the waiting list across the University if required for certain posts.- ABOUT YOU -The postholder will be required to have:- Degree in Computing Science, Mathematics, Data Analytics or a closely related science-based discipline.- Experience in one or more of the following areas: AI, Machine Learning, Database Technology, Data Mining, Optimisation, Statistics, Mathematics, Probability and Simulation Models.- Extensive experience in querying and programming languages such as SQL, R and Python, along with their respective libraries for statistical modelling and machine learning with practical experience developing and deploying deep learning models using TensorFlow, Keras, or similar.Please find our employee benefits on our website.Athena Swan StatementThe School of Computing, Engineering & Intelligent Systems holds a Bronze Athena SWAN Award in recognition of our commitment to advancing Gender equality in higher education. You can read more about what this means on our University website. The University has a range of initiatives to support a family friendly working environment, including flexible working.The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities. Appointment will be made on merit.

Harvey Nash are now recruiting for a AI and Automation Engineer for a 12 month contract role.

• Scotland / Glasgow or Perth - Hybrid working
• Rate range is 550 - 650 (inside of IR35

Design, develop and deploy AI‑enabled and automated solutions that streamline project delivery activities. You’ll work closely with engineering, project management and business teams to identify high‑value opportunities for automation across document production, design assurance, governance and other admin‑heavy project processes.

This is a key role supporting our clients digital transformation agenda, with the opportunity to directly improve productivity, consistency and quality across some of the UK’s most significant energy infrastructure projects.

To be considered for this role, we’d love you to have:

• Demonstrable experience developing AI‑enabled or automation solutions within a complex business or project environment.
• Practical experience using Microsoft Copilot, Autodesk Assistant, or similar AI‑assisted productivity platforms.
• A working knowledge of the development and deployment of agentic AI platforms and AI‑driven workflows.
• Experience automating document‑heavy processes, reporting, or assurance activities.
• Strong analytical and problem‑solving skills, with the ability to translate business needs into practical digital solutions.
• The confidence to work with a wide range of stakeholders, from engineers to senior leaders.

Please submit your CV for consideration.

To
From
Record Yes No

Always use these settings

Linguist

Job Description

This remote Linguist role focuses on applying advanced linguistic expertise to large-scale AI and natural language processing projects. You will analyse multilingual datasets, evaluate AI model outputs, and contribute to responsible AI initiatives, with a particular emphasis on Austronesian languages. The position suits a graduate-level linguist with 03 years of experience who is eager to collaborate with engineers and researchers, contribute to publications, and shape best practices for multilingual AI systems.

Responsibilities

• Perform detailed linguistic analyses on large datasets, with a focus on Austronesian and other language families.
• Conduct linguistic error analysis of AI model outputs, identifying the most frequent and severe error categories and proposing improvements.
• Write, refine, and maintain clear guidelines for human annotation and other AI projects, including translation and related tasks.
• Carry out typological and sociolinguistic research on a wide range of languages, highlighting their similarities and differences.
• Perform linguistic analyses to support Responsible AI initiatives, including the detection and characterisation of toxic language, hate speech, gender bias, and other cultural biases in massively multilingual settings.
• Conduct comprehensive literature reviews on topics related to natural language processing and linguistics, and summarise findings in a clear and accessible way.
• Compare the quality of linguistic deliveries from different vendors, identify error patterns, and provide actionable feedback for improvement.
• Offer expert guidance on all aspects of linguistic knowledge, including typology, morpho-syntax, sociolinguistics, classification, phonetics and phonology, pragmatics, writing systems, and corpus linguistics.
• Engage with and collaborate effectively with native speakers of various languages to support data collection, annotation, and validation.
• Communicate the results of linguistic analyses clearly to machine learning engineers, NLP specialists, software engineers, and research scientists.
• Work cross-functionally with technical and research teams, contributing linguistic insight to AI and NLP projects.
• Contribute to research papers and documentation related to AI, NLP, and linguistics, while avoiding conflicts of interest in machine translation, ASR, TTS, or LLM research.
• Independently manage complex requests, prioritise tasks, plan and track your work, and report progress in a structured manner.
• Apply basic Natural Language Processing techniques to real-world datasets and research questions.

Essential Skills

• Graduate degree in Linguistics or a closely related field (required).
• 03 years of relevant professional or research experience in linguistics or NLP-related work.
• Native speaker of a non-English language, preferably Indonesian, with a high level of proficiency in another Austronesian language.
• Broad knowledge of other languages within the Austronesian language family.
• Very strong grasp of key linguistic fields, including language typology, syntax, morphology, sociolinguistics (especially dialectology and discourse analysis), corpus linguistics, writing systems, pragmatics, and phonology.
• Some hands-on experience applying basic Natural Language Processing techniques.
• Ability to code in Python for data analysis and linguistic tasks.
• Ability to query databases using SQL.
• Strong written and spoken communication skills, particularly for business and research communication.
• Proven ability to work independently, including prioritising, planning, tracking work, and reporting progress.
• Ability to work under pressure and handle complex, ambiguous requests.
• experience working cross-functionally with teams such as machine learning, NLP, software engineering, or data science.
• experience collaborating with technical teams and contributing to research papers.
• Self-motivation and a proactive approach to problem solving.
• No known conflicts of interest in the fields of machine translation, automatic speech recognition (ASR), text-to-speech (TTS), or large language model (LLM) research, to enable contribution to research papers.

Location

London, UK

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as “Allegis Group”). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to https://www.allegisgroup.com/en-gb/privacy-notices.

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the “Contacting Us” section of our Online Privacy Notice at https://www.allegisgroup.com/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

Role: ML Lead
Type: 12 Months Contract
Location: London, UK
Working Model: Hybrid (2 days per week in office)

Payrate: (Apply online only) GBP/day on Inside IR35 on Umbrella

The Role: We are seeking an ML Lead to manage our team and spearhead the design and deployment of cutting-edge Agentic Systems and LLM applications.

Key Responsibilities:

• Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders.
• LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using PEFT techniques like LoRA.
• Data Engineering: Design and maintain robust ETL/ELT pipelines to process structured and unstructured data.
• MLOps & Infrastructure: Automate CI/CD pipelines, manage cloud/container infrastructure (Docker, Kubernetes), and oversee secure model deployment and performance monitoring.
• Responsible AI: Build trustworthy AI systems with quantifiable metrics for fairness, explainability, and compliance.

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

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

Software Engineer £40,000 - £45,000 + Progression + Salary Reviews + 32 Days Holiday + Hybrid + Bonus + Flexible Working + Pension + Benefits Heysham - Hybrid Are you a hands-on Software Engineer looking to take technical ownership of complex, real-world systems while influencing how high-impact products are designed, delivered and evolved? This is a senior, delivery-focused engineering role offering real technical influence across a multidisciplinary team working in the navigation domain. You will play a central role in shaping software solutions from early concept through to deployment, balancing strong engineering principles with pragmatic delivery. Working closely with Software Engineers, Computer Vision and Navigation specialists, you will help integrate classical navigation, sensor fusion and AI-enabled components into robust, customer-focused products. The role offers variety, technical depth and responsibility across multiple concurrent projects. This position suits an experienced engineer who enjoys ownership, technical leadership and working across system boundaries, without moving into people management. For this position you will need to be able to qualify for SC clearance. The Role: Technical ownership of software design across complex, multi-disciplinary systems
Hands-on development across core logic, system integration and performance-critical components
Leading technical decision-making with a strong focus on customer value and delivery
Breaking down complex problems into clear, deliverable work packages
Supporting planning and prioritisation across multiple projects
Reviewing code, mentoring engineers and troubleshooting technical issuesThe Person Strong software engineering background with experience in Python, TypeScript, C++ and modern deployment tools
Proven ability to design and deliver complex, real-world software systems end to end
Comfortable working across navigation, sensor-driven, AI or computer vision-enabled systems
Eligible for SC clearance
Confident operating in a hands-on role alongside technical leadership responsibilitiesReference Number:BBBH(phone number removed) Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates

Data Engineer
Brentwood
Contract
£23.49 per hour PAYE or £30.56 per hour limited paid via umbrella company inside IR35
Our client is looking for an experienced is looking for Data Engineer
5 days a week (37 hrs)
8.30am – 5.00pm – Mon-Thur
8.30 – 4.30pm – Fri
We have begun to build our data infrastructure, using the MS Fabric technologies and need to expand and are looking for a data engineer that will work on data transformation and integration projects with particular focus on using your skills with python for integrations and knowledge of database and data manipulation techniques to move data around.
We are particularly looking for an experienced data engineer with python developer skills who will re-engineer current dated scripts and processes and move these into a MS Fabric Environment to transformed, store and exported ready for ingestion into target business applications.
Prefer this to be a hybrid role which requires working onsite for projects and well as remote.
This is one of many roles we are recruiting for please visit our website colbernlimited co uk
We are also recruiting for Digital Services Manager and IT Support Officer
PLEASE VISIT OUR WEBSITE FOR MORE OPPORTUNITIES colbernlimited co uk
The first part of our recruitment process is to send your CV. Should you be short listed Colbern Limited will contact you within 5 days or we may contact you about other job opportunities. Colbern Limited along with our clients
are an equal opportunities employer

Job Title: Data Scientist (Generative AI & LLMs) Location: London(Hybrid role) Employment Type: 12 months contract Role Overview We are seeking a versatile Data Scientist to lead the end-to-end development of AI solutions, with a heavy focus on Generative AI and Large Language Models (LLMs). You will bridge the gap between business requirements and technical execution, overseeing the entire lifecycle from initial scoping and data engineering to model deployment and prompt optimization. Key Responsibilities Business Alignment: Partner with stakeholders to define project scope, translate business problems into technical specs, and establish clear KPIs. Data Architecture: Design robust pipelines for data collection, cleaning, and preprocessing to ensure high-quality inputs for ML models. Model Development: Select and train appropriate architectures (BERT, GPT, etc.) using supervised, unsupervised, or reinforcement learning strategies. Prompt Engineering: Design, test, and iterate on complex prompts to elicit high-quality responses from LLMs while mitigating unintended behaviors. Evaluation & Optimization: Define metrics (Precision, Recall, F1) and design reports to track performance, continuously refining models through hyperparameter tuning and architectural adjustments. Deployment & Monitoring: Collaborate with engineers to push models into production and establish automated monitoring systems to track drift and performance. Technical Requirements Core AI/ML: Strong experience in ML algorithms, LLM architectures, and deep learning frameworks. Generative AI: Proven expertise in Prompt Engineering and fine-tuning pre-trained models. Engineering: Proficiency in Python and experience designing data pipelines and MLOps workflows. Communication: Ability to translate complex technical findings into actionable insights for non-technical stakeholders. Randstad Technologies is acting as an Employment Business in relation to this vacancy

Hybrid London
6 Months

Overview
We are seeking an experienced Senior AI Solution Architect to lead the design of enterprise?grade AI and GenAI solutions, with a strong focus on AI trust, risk, security, and scalable architecture. You will define architecture patterns for AI powered and agentic systems, guide delivery teams, and work closely with security, engineering, data, and business stakeholders to embed AI into operational and customer facing workflows

.
Key Responsibilities
Define and evolve enterprise GenAI and AI architecture patterns
Lead design of AI Trust & Controls covering data, prompt, application, and security risks
Architect solutions using LLMs, RAG, GenAI, and agentic automation
Guide delivery teams and develop reference architectures and pilots
Enable LLMOps / AgenticOps (observability, evaluation, governance, lifecycle management
Support integration across data platforms, APIs, event driven and messaging systems
Collaborate with security and governance teams to align with regulatory and policy frameworks

Required Experience
Strong enterprise solution architecture background (cloud, data, integration, applications
Experience designing AI powered systems (assistants, search, summarisation, automation
Knowledge of AI governance and risk frameworks (e.g. ISO/IEC 42001, NIST AI RMF, EU AI A
Hands on experience with GenAI patterns (RAG, agents, orchestration frameworks
Experience with cloud native AI and data platforms (e.g. managed LLMs, ML services, search, analytics
Strong stakeholder engagement across engineering, security, data, and business teams

We are seeking an experienced Senior Data Engineer with strong Databricks expertise to design, build, and maintain a scalable cloud-based data platform for a private equity firm. This is a 6-month contract based in London with hybrid working.

Key Responsibilities

• Design and build robust data pipelines using Azure Data Factory and Databricks
• Develop ETL/ELT processes to transform raw data into analytics-ready datasets
• Architect and maintain data lake solutions using Azure Data Lake Storage
• Implement Databricks solutions using Delta Lake and medallion architecture (bronze, silver, gold)
• Optimise performance, data quality, and cost efficiency across pipelines and clusters
• Set up monitoring, alerting, and ensure high availability of data services
• Collaborate with data teams and stakeholders to deliver business-focused solutions

Essential Skills & Experience

• Strong hands-on experience with Databricks (essential)
• Proven experience with Azure services
• Proficiency in Python and SQL
• Experience with CI/CD, Git, and deployment pipelines
• Solid understanding of data modelling and data architecture
• Knowledge of data governance and security best practices
• Experience with Terraform or Infrastructure-as-Code
• Azure DevOps
• Relevant Azure or Databricks certifications

Job Description:

Product Manager - AI Transformation (Inside IR35) London/Hybrid

This contractor will spearhead the strategy and rollout of four flagship AI products. This is a high-visibility role focused on transforming Airline Line Maintenance operations across the entire companies portfolio.

You will oversee the full lifecycle of four cutting-edge AI solutions, ensuring group-wide adoption and measurable ROI.

• Drive Product Success: Set vision and prioritize features for AI tools designed to optimize operational performance.
• Influence and Align: Build consensus across diverse airline business units, overcoming barriers to global adoption.
• Execution: Secure material commitments from airlines to hit productivity and cost-saving targets.

What You’ll Bring

• Product Leadership: Heavyweight experience in Product Management, ideally within AI, Aviation (MRO), or complex Enterprise Tech.
• Consulting Pedigree: Experience delivering digital products within a leading consultancy or FTSE100 environment.
• Stakeholder Mastery: Proven ability to influence executives and frontline teams alike in high-velocity environments.
• Technical Acumen: A strong grasp of AI/ML concepts and how they apply to operational optimization.

Product Manager - AI Transformation (Inside IR35) London/Hybrid

£540.00 / day

Talent International UK and it’s subsidiaries, Digital Gurus, Infinite Talent and Rethink act as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this opportunity, you accept the TandC’s, Privacy Policy and Disclaimers which can be found at talentinternational.co.uk

We're looking for an Automation Software Engineer with strong Power Automate experience, supported by .NET and scripting, to deliver and mature automation across IT service management and operational workflows. Contract: 6 months Rate: £650/day (Inside IR35) Location: London (weekly for first 2 weeks, then monthly) What you'll be doing Building and orchestrating automations using Power Automate (core skill) Working with stand‑alone APIs and small structured datasets (CSV, JSON, spreadsheets) Automating ITSM processes, checklists, and onboarding (JML) Consolidating data into Azure DevOps dashboards Supporting ServiceNow CI/CD integrations (read-only) Delivering PoCs Creating clear documentation, strategy, and a future automation backlogWhat we're looking for Strong hands‑on Power Automate experience .NET development background PowerShell or Python scripting API orchestration experience Familiarity with Azure DevOps and ITSM environments AI Automation experience Able to work autonomously and leave reusable, scalable solutions £650/day inside IR35 Twice weekly in the office (London) for the first month, then in the office once per month from month 2 onwards. If this sounds of interest, please do send me your CV to start a conversation. Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser

Your new company Working for a renowned financial services organisation Your new role We are seeking a Data Engineer to support the replacement of a legacy ETL tool with a modern Apache Spark based data platform. This is a hands‑on engineering role focused on building and supporting Spark jobs, with an emphasis on performance, reliability, and scalability. The role is focused on building nonperformance Apache Spark jobs, with a strong emphasis on performance optimisation. Working in containerised environments using Kubernetes is a key element also as well as experience across Python/ Scala and Java. The role sits within a small Agile delivery team of four engineers (two onshore and two in Shenzhen), working closely with a Senior Data Engineer. You will be responsible for development work, sprint delivery, demos, documentation, and stakeholder engagement. This position suits a mid to senior level engineer with strong Spark development experience rather than design, infrastructure, or management responsibilities. What you’ll need to succeed Strong hands‑on experience with Apache Spark - Writing and tuning Spark jobs /PySpark development experience.
Experienced with Airflow and SQL. Strong experience working in with containerised environments using Kubernetes.
Experience with programming in Python or Scala
Experience with an Ops way of working, not pure development only - you know how to deploy solutions.
Experience with OpenShift would be highly desirable!
Experience working in an Agile way of working (Scrum, sprints, demos)
Financial services or professional services experience background required.
What you’ll get in return Flexible working options available. 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. 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)

Join Our Team as an Automation Application Developer!

Located: London (2-3 days a week) Rate: 415- 490 Umbrella Duration: 6 months but known for long term! Interviews: ASAP (Please note first stage will be face to face in London)

Are you ready to make a splash in the exciting world of Investment Banking? We’re on the lookout for a talented Automation Application Developer to join our dynamic team at a leading financial institution. If you’re passionate about technology and eager to drive efficiency through innovation, this is the perfect opportunity for you!

Key Responsibilities:
As an Automation Application Developer, you will:

• Design, develop, and implement automation solutions that streamline processes and improve efficiency.
• Collaborate with cross-functional teams to identify automation opportunities and gather requirements.
• Maintain and enhance existing automation applications, ensuring optimal performance and reliability.
• Troubleshoot and resolve issues related to automation tools and processes.
• Document your work meticulously and contribute to knowledge sharing within the team.

What We’re Looking For:
To thrive in this role, you should possess:

• Proven experience in C# .NET & SQL development.
• Good experience of Windows application development.
• Extensive experience with UiPath RPA technologies. Must have used this to create at least 20 processes of varying degrees of complexity
• Leading experience in RPA Solution Design
• Strong Experience in Unattended robot development
• Experience in RPA using Citrix Platforms
• Experience in Uipath using Standalone as well as Cloud setup.
• Experience in using Orchestrator (e.g., publishing, creating assets, triggers, queues etc)
• Develop Proof-Of-Concept for new applications or technology

Ready to Take the Leap?
If you’re excited to be part of a forward-thinking team and make a real difference in the financial sector, we want to hear from you!

Join us in shaping the future of finance and insurance through automation! Let’s create something amazing together!

We can’t wait to meet you!

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

AI Lead Engineer Location: Croydon (once per week in-office)
Duration: 6-12 months (initial)
Security Clearance: Active SC clearance required
Must have: 5+ years of unbroken UK residency Our client, a leading organisation in innovative technology solutions, is hiring for a reputed client to support a critical AI-focused project. This is an exciting opportunity for a skilled Lead Engineer to shape the future of AI integration within complex systems. What you’ll be doing:
* Providing technical leadership to engineering teams working on AI components, ensuring alignment with architecture and delivery plans.
* Overseeing technical design decisions, particularly around Large Language Models (LLMs), agentic AI logic, and related components, ensuring scalable and controlled integration.
* Collaborating with architects to translate high-level solution designs into detailed engineering approaches.
* Working with delivery managers to identify and manage technical risks, dependencies, and constraints.
* Reviewing design artefacts, integration plans, and testing strategies to provide assurance across workstreams.
* Ensuring AI components adhere to SDLC updates, including model validation, safety checks, and governance protocols.
* Engaging with external AI technology providers to clarify technical requirements and integration considerations.
* Supporting engineering teams in resolving complex technical challenges related to AI model behaviour, data flows, and system interfaces.
* Coaching developers and data engineers to maintain quality and consistency. What you’ll bring:
* Proven experience leading engineering teams in AI or related fields.
* Strong understanding of AI components such as LLMs, AI logic, and system integration.
* Ability to translate high-level designs into detailed technical approaches.
* Experience managing technical risks and dependencies within complex projects.
* Excellent collaboration skills with architects, delivery managers, and external providers.
* Knowledge of SDLC processes, model validation, safety, and governance standards.
* Effective coaching and mentoring abilities. Nice to have:
* Experience working with external AI technology providers.
* Deep understanding of AI model behaviour, data flows, and system interfaces. This is a fantastic chance to contribute to a high-profile project within a dynamic environment. If you meet the criteria and are ready to make an impact, we’d love to hear from you

About the role

We are seeking a highly experienced Content Designer-AI Specialist to join our client, who has their finger on the pulse of emergingAI trends to help us create content that is discoverable, scalable, and effective across multiple markets.

In this role, you’ll shape how content is created, structured, governed, and delivered in an AI-driven environment. You will work closely with engineering, product, data science, and research teams to build content that is intuitive for users and legible to AI systems. You’ll also use AI tools to increase efficiency, quality, and consistency across content operations.

Content Designers at client are full stack, meaning you’ll be responsible both for designing content and for authoring/managing it in our CMS.

Tell me more, tell me more

Our client is currently looking for a new recruit in joining their team, please read on!

You can also ask our friendly recruitment team any questions you may have about the role, between 8:30am-5:30pm Monday to Friday.

Shifts: Monday - Friday (37.5 hours per week)

Key responsibilities

Define AI-related content standards:

• Define metadata, taxonomies, and schemas that support AI retrieval, RAG pipelines, and vector search.
• Design and document content standards for conversational, generative, and AI-driven UX patterns.
• Partner with CMS teams to maintain scalable content models optimized for automation and machine understanding.
• Design modular, atomic content that can be composed, repurposed, or personalized by AI systems.

Lead on personalisation:

• Support business initiatives to explore how personalisation can increase product conversion rates.
• Explore AI integrations with testing tools like Kameleoon to drive data-driven personalisation experimentation.

Enhance content creation:

• Build and test AI-powered writing workflows that use AI tools (LLMs, copilots, automation platforms) to accelerate writing, editing, summarization, localization, and content transformation, while maintaining quality and compliance.
• Create repeatable patterns, templates, and frameworks that AI can use to generate high-quality, on-brand content.
• Define prompt strategies and content rules that ensure safe, accurate, and brand-aligned AI outputs.
• Run experiments that compare human, AI-assisted, and hybrid content approaches.
• Establish quality and safety criteria for AI outputs, including tone, accuracy, bias checks, and fallback behavior.

Must Have Skills

• PORTFOLIO REQUIRED: Please include a link to case studies/examples from previous clients that demonstrate the impact you’ve made to businesses by using AI to support content creation
• 7+ years in Content Design, UX Writing, or Content Strategy.
• Strong hands-on experience using LLMs/AI tools for content creation and workflow optimization.
• Ability to design prompts, templates, and structured content formats AI can reliably use.
• Experience writing for AI-driven products (assistants, generators, intelligent flows).
• Experience with headless CMS and API-driven content systems.
• Understanding of responsible AI, bias mitigation, safe content design, metadata, taxonomies, schema, and structured content models.
• Ability to balance human oversight with AI automation.
• Strong cross-functional collaboration with engineers, data scientists, and researchers.

Nice-to-haves

• Experience with RAG systems, vector databases, or knowledge graph design.
• Familiarity with prompt evaluation frameworks and model assessment.
• Basic understanding of machine learning concepts.

What success looks like

• AI is consistently used to improve content velocity, quality, and labor efficiency.
• Human + AI hybrid workflows are documented, scalable, and safe.
• Product content and AI-generated content feel seamless, trustworthy, and on-brand.
• Structured content systems improve retrieval, search, personalization, and generative quality.
• The organization develops clear guidelines and governance for AI-assisted content creation.
• Measurable improvements in user experience, content performance, and operational ROI.

What’s in it for you? -

Our client loves to reward their people for doing a great job.

• This is a 6 months contract.
• A day rate, in-scope of IR35, either via a Hays approved umbrella company or via Hays PAYE
• This role provides a remote working access from the comforts of your own home and only going to our state-of-the-art office in London Victoria 2 days per week.

Next Steps

Once you’ve applied, one of our friendly recruitment consultants will give you a call and talk you through the screening process.

If your application is successful, you’ll be involved in a live virtual interview with one of our client’s hiring managers to get to know you better.

We look forward to speaking to you!

ENS UX & Data Integration Engineer

Location - Glasgow (Hybrid / 3 days onsite, non-negotiable)
Duration - 12-month contract

Day rate - circa £450 PAYE

We are seeking a skilled ENS UX & Data Integration Engineer to join a high-performing enterprise technology team. This role sits at the intersection of data engineering, platform integration, and user experience-supporting advanced analytics and AI-driven solutions.

Key Responsibilities

• Integrate diverse data sources into enterprise platforms such as Snowflake and Databricks
• Design scalable, high-performance data models for analytics and AI use cases
• Build and maintain robust ETL/ELT pipelines using modern tooling
• Collaborate with developers, data owners, and UX stakeholders to translate business needs into technical solutions
• Support AI/ML inference pipelines and data workflows
• Produce clear documentation covering data flows, schemas, and integration patterns
• Monitor and optimise data performance, resolving issues as needed

Required Skills & Experience

• Strong hands-on experience with Snowflake and Databricks in production environments
• Proficiency in Python and SQL
• Experience with Kafka and modern data pipeline frameworks
• Solid understanding of data modelling, big data, and analytics principles
• Familiarity with Git-based development workflows
• Experience with Power BI, Grafana, or similar tools
• Strong communication skills and ability to work across cross-functional teams

This is an excellent opportunity to contribute to enterprise-scale data platforms within a dynamic, fast-paced environment focused on innovation and continuous improvement.

If this seems like a good fit, please apply today!

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

The Role: GenAI Data Engineer Location: London (or) Edinburgh, UK Position Type: Contract Inside IR35 Remote work option Available: Hybrid – 2 Days Onsite Job Description: Essential skills/knowledge/experience: \* Strong experience with PySpark, distributed data processing, and largescale ETL/ELT pipelines. \* Strong SQL expertise including star/snowflake schema design, indexing strategies, writing optimized queries, and implementing CDC, SCD Type 1/2/3 patterns for reliable data warehousing. \* Advanced proficiency in Python for data engineering, automation, and ML/GenAI integration. \* Hands‑on expertise with AWS services (S3, Glue, Lambda, EMR, Bedrock / custom model hosting). \* Practical experience with GenAI/LLM model creation, finetuning, benchmarking, and evaluation. \* Solid understanding of RAG architectures, embeddings, vector stores, and LLM evaluation methods. \* Experience working with structured and unstructured datasets (documents, logs, text, images). \* Familiarity with scalable data storage solutions (Delta Lake, Parquet, Redshift, DynamoDB). \* Understanding model optimization techniques (quantization, distillation, inference optimization). \* Strong capability to debug, tune, and optimize distributed systems and AI pipelines. Desirable skills/knowledge/experience: \* Pyspark, Python, SQL,AWS, GenAI

Data Engineer for a major offshore wind project in The United Kingdom

Responsibilities

• Design and implement scalable ingestion pipelines from multiple source systems including and internal business data sources.
  Ensure reliable, automated, and monitored data flows into the Bronze layer of the Medallion architecture.
  Work within clients existing security framework to establish compliant connectivity to operational data sources.
  Build and maintain Silver and Gold layer transformations in Databricks using Python and SQL.
  Onboard datasets into Unity Catalog, ensuring proper governance, lineage, and discoverability. Platform Collaboration & Delivery
  Support the ML/Data Scientist in preparing clean, structured datasets for anomaly detection and asset performance modelling.
  Contribute to technical documentation and ensure pipelines are maintainable and transferable.
  Stay current on Databricks and Azure platform developments relevant to the stack.
  Support the Digital & AI Strategy Manager in assessing feasibility of new data source integrations as the roadmap evolves. Experience Master’s degree in Computer Science, Data Engineering, Software Engineering, or a related technical field.
  Professional certifications in Azure, Databricks preferred
  Training or background in energy systems, renewable energy, offshore wind or BESS technologies is a strong plus.
  4-7 years of hands-on data engineering experience in a cloud environment.
  Demonstrated experience delivering production pipelines on Databricks and Azure (ADLS Gen2, ADF or equivalent).
  Proven ability to implement Medallion architecture or equivalent layered data modelling patterns.
  Experience with REST API ingestion and integration of business systems (ERP, finance tools).
  Experience in a contractor or project-based delivery model preferred.
  Exposure to OT/SCADA environments or energy sector data.
  Exposure to MLOps workflows or collaboration with data science teams.

Microsoft AI Copilot Consultant (Contract) - Azure AI Foundry / Copilot Studio

Location: UK (Remote with occasional travel)

Contract Length: Initial 2 months (likely extension)

Start Date: 1st May (ASAP)

Day Rate: 550- 650 per day (DOE)

IR35 Status: TBC (Commercial engagement - likely Outside, subject to assessment)

Overview

We are supporting a customer who requires an experienced Microsoft AI Copilot Consultant to lead the rapid design and deployment of AI-powered solutions using Microsoft’s latest Copilot and Azure AI stack.

This is a fast-moving engagement with an immediate start, ideal for someone who can quickly get up to speed and deliver value in a short timeframe.

Key Responsibilities

• Design and implement AI solutions using Microsoft Copilot Studio
• Build and deploy intelligent agents leveraging Azure AI Foundry
• Develop and configure Copilot agents for business use cases
• Integrate AI solutions into existing Microsoft ecosystem (M365, Dynamics, Azure)
• Work closely with stakeholders to gather requirements and translate into AI-driven solutions
• Deliver rapid prototyping and iterative improvements
• Ensure best practices around security, governance, and scalability

Required Experience

• Hands-on experience with Microsoft Copilot / Copilot Studio
• Proven experience building AI agents using Azure AI / Azure OpenAI services
• Experience with prompt engineering, LLM orchestration, and agent workflows
• Solid understanding of Microsoft Azure ecosystem
• Experience integrating AI into enterprise environments
• Ability to work in fast-paced, delivery-focused projects

Desirable Skills

• Experience with Power Platform (Power Automate, Power Apps)
• Knowledge of RAG (Retrieval-Augmented Generation) architectures
• Familiarity with enterprise data security and compliance in AI solutions
• Previous consulting or client-facing delivery experience

Working Pattern

• Primarily remote (UK-based)
• Occasional travel may be required
• Must be available for some late afternoon meetings (typically 4:00pm - 5:30pm UK time) to collaborate with US stakeholders

Interested?

If this role sounds like you, then why are you still reading?!

APPLY NOW!