AI Prompt Engineer - 12 Month Contract - Outside IR35

Role Description:

Harvey Nash’s Pub Sec client are seeking an AI Prompt Engineer to design, develop, and optimise prompt-based solutions for AI systems.

This role will design and optimise AI prompts for extracting data from forms, fine-tune models for accuracy, automate end-to-end workflows, and manage production deployments. The ideal candidate will ensure robust, scalable, and secure AI solutions that streamline document processing

The initial focus of the role will look at building on exiting solution to extract structured data from various forms and documents. This role combines expertise in natural language processing (NLP), prompt engineering, and workflow automation to enable accurate and efficient data processing.

Key Responsibilities:

• Prompt Design & Optimisation:

• Develop and refine AI prompts to accurately extract data fields from structured and semi-structured forms.

• Test and iterate prompts for different document types and languages to maximize accuracy and reliability.

• Ensure prompt development is reusable and scalable across different use case scenarios

• Work closely with developers, data scientists, and business analysts to align solutions with business needs.

• Fine-tune AI models to improve performance across diverse document types and languages.

• Workflow Automation

• Develop automated pipelines for document ingestion, data extraction, and validation.

• Integrate AI solutions with OCR tools and enterprise systems for seamless processing.

• Deployment & Support

• Manage deployment of AI solutions into production environments.

• Monitor system performance, troubleshoot issues, and provide ongoing support.

• AI Model Integration*:

• Collaborate with data scientists and developers to integrate prompt-based solutions into existing AI/ML pipelines.

• Ensure compatibility with OCR tools and document processing systems.

• Data Quality & Validation:

• Implement validation logic to ensure extracted data meets quality standards.

• Work with QA teams to identify and resolve extraction errors.

• Research & Innovation:

• Stay updated on advancements in prompt engineering, LLMs, and document AI technologies.

• Experiment with new techniques for improving extraction performance and reducing manual intervention.

• Collaboration & Documentation:

• Partner with business analysts to understand form structures and data requirements.

• Document prompt strategies, workflows, and best practices for internal knowledge sharing.

• Document guidance to support deployment approach and ongoing support and maintenance activities

Required Skills & Qualifications

• Strong understanding of Large Language Models (LLMs) and prompt engineering principles.
• Experience with document AI, OCR technologies, and data extraction workflows.
• Proficiency in Python or similar languages for automation and integration tasks.
• Familiarity with APIs and cloud-based AI services (e.g., Azure OpenAI, AWS, Google AI).
• Excellent problem-solving skills and attention to detail.
• Background in NLP, machine learning, or data science.
• Experience with form processing systems in finance, healthcare, or enterprise environments.
• Knowledge of data privacy regulations and secure handling of sensitive information.
• Demonstrated success in delivery across both distributed and hybrid on-premises and cloud technology estates.
• Experience in managing both agile and waterfall projects.
• Excellent interpersonal skills, influencing and communication skills.
• Ability to apply a broad understanding of IT infrastructure and interdependencies to create effective, risk-minimising migration plans.
• The candidate will have an awareness of Digital First Service Standards, and Government Digital Services (GDS).

Location: Worthing (1 day pw onsite required)
Daily Rate: 500 - 600 (inside IR35 via umbrella)
Contract Length: 3 Months initially

Are you ready to lead the way in AI and Machine Learning?
Our client is on the lookout for an experienced AI/ML Tech Lead to shape their innovative workstream from day one. This is an exciting opportunity to play a pivotal role in enhancing their Databricks environment while ensuring governance models and delivery patterns are scalable for future use cases.

Key Responsibilities:

Develop and implement a practical architecture layer for AI/ML projects, turning visionary concepts into actionable patterns.
Define platform setup, governance, and delivery approaches that support the expansion of AI/ML capabilities.
Collaborate with cross-functional teams to ensure successful integration and deployment of ML platforms.
Provide guidance and mentorship to team members, fostering a culture of innovation and continuous improvement.
Establish best practises for AI/ML workflows, ensuring high standards of quality and efficiency.

What We’re Looking For:

Proven experience as a Tech Lead in AI/ML, with a track record of delivering ML platforms.
Strong understanding of Databricks and its application in real-world scenarios.
Experience in defining governance models and scalable delivery patterns.
Excellent problem-solving skills and the ability to turn complex challenges into practical solutions.
Strong communication and interpersonal skills, with a collaborative mindset.

How to Apply:
If you are passionate about AI and ML and have the leadership experience to drive impactful change, we want to hear from you! Please submit your CV and a brief cover letter outlining your relevant experience.

Take the lead in shaping the future of AI/ML with our client. Your next adventure starts here!

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.

Salary Range: Up to £42,500 per annum

FTE: 37 hours/week

Contract type: Fixed Term (24 months)

Closing date: 25/02/2026

Would you like to be part of shaping the future of Safran Nacelles?

This opportunity is to be part of a team implementing Discrete Event Simulation (DES) within Safran’s Sheet Metal Centre of Excellence.

As a Knowledge Transfer Partnership associate you will work in partnership with The Advanced Forming Research Centre (AFRC) in association with the University of Strathclyde to embed DES within SAFRAN.

This project aims to use advanced simulation and digital technology to optimise the SAFRAN production system, enabling performance improvements and driving down costs. It will strive to make further advances in Digital Manufacture by linking the DES system to real time data from Safran’s Manufacturing Execution System and key machines.

Part of the Safran Group; Safran Nacelles based in Burnley, Lancashire designs, manufactures and supports engine nacelle systems for a range of commercial, regional and business jets. The company is committed to developing its people and products to support the Aerospace Industry.

The KTP associate will be integrated into the engineering team based at Safran Nacelles, Burnley and will be supported by business and academic supervisors.

This position offers the opportunity of a role that links academic research with a practical industry application, whilst contributing to digital manufacturing development.

The position offers the KTP Associate the following benefits:

• £2,000 per year to spend on personal training.

• KTP Associates spend around 10% of their time in training and personal development.

• At the start of the KTP you get a training budget to manage - you decide which courses would benefit you.

• You can choose a variety of training modules during your KTP: project management, marketing and communication, finance, leadership and/or personal development, as well as job-specific technical training.

• The opportunity to manage a challenging, real-world project.

• The chance to implement strategic development within an innovative company.

• You’ll own the project linked to university and business; their experienced teams will provide full support.

• Applying academic knowledge to a real-world challenge, this is a chance to deliver impact and shape your career.

• Invaluable experience gained through working on a KTP project with the support of expert teams.

The project is part of the Knowledge Transfer Partnership (KTP) programme that aims to help businesses to innovate and grow by working with UK universities. These are funded by UK Research and Innovation through Innovate UK and are part of the government’s Industrial Strategy. To find out how KTP works and the vital role you will play if you successfully secure a KTP Associate position please visit:

Informal enquiries about the post can be directed to Dr Ruby Hughes, (ruby.hughes@strath.ac.uk).

Location: Gloucester (hybrid - typically 3 days onsite)
Contract: 12 months (strong likelihood of extension)
Rate: £54 per hour umbrella
IR35: Inside IR35
Sector: Engineering/Aerospace

The Opportunity

We are looking for a Senior Software Engineer at an early-mid stage in their career who is ready to take on greater technical ownership and leadership, while remaining fully hands-on.

This role is suited to someone who has moved beyond task-based delivery and is now comfortable owning systems or features end to end, guiding others, and helping shape how software is built and maintained.

You’ll work on practical, production software that supports engineering teams day to day. While some solutions use data-driven or automation techniques (including AI/ML), the role is fundamentally about strong software engineering, sound judgement, and reliability.

What You’ll Be Doing

• Hands-on software engineering

  • Design, build, test and maintain robust software solutions
  • Take ownership of existing systems, improving reliability and maintainability
  • Diagnose and resolve issues in live environments

• Emerging technical leadership

  • Act as a local technical point of contact within the team
  • Support and guide junior engineers and apprentices on day-to-day work
  • Contribute to technical decisions and promote good engineering practice

• System and data integration

  • Work with databases, data pipelines and system integrations
  • Ensure data quality, consistency and traceability across systems
  • Adapt and evolve tooling as requirements change

• Collaboration & delivery

  • Work closely with engineers, analysts and stakeholders to understand real needs
  • Collaborate with international teams to align approaches and share best practice
  • Balance delivery speed with long-term sustainability

• Continuous improvement

  • Identify opportunities to simplify, automate or improve existing systems
  • Maintain clear technical documentation
  • Contribute ideas to improve development standards and ways of working

What We’re Looking For

Essential:

• Demonstrated experience delivering production software in a professional environment
• Strong software engineering fundamentals, with a bias toward pragmatic, maintainable solutions
• Proficiency in Python (or a similar high-level language)
• Experience working with APIs, databases and integrated systems
• Evidence of technical ownership - taking responsibility for systems, components or features
• The confidence and capability to guide and support other engineers, even if you haven’t formally managed a team
• Ability to pick up unfamiliar systems quickly and work with minimal hand-holding
• Clear communication skills and a collaborative mindset

Desirable:

• Experience in engineering, industrial or regulated environments
• Exposure to cloud platforms (eg AWS)
• Experience with data-heavy systems, automation or analytics
• Some familiarity with machine learning or optimisation concepts (not essential)

Why Join

• A 12-month contract with strong extension potential
• Competitive £54/hr umbrella rate (inside IR35)
• A chance to step into a technical leadership role while staying hands-on
• Ownership of real systems with visible impact
• Collaboration with experienced engineers across UK and international teams

Senior Scientist - Cyber AI / ML Research (Contract)

Location: Newport (minimum 3 days on site)
Contract Duration: 12 months, with strong potential for extension
Pay Rate: £50 per hour Umbrella / £37.38 per hour PAYE
Hours: 35 hours per week, flexible between 7am-7pm
Clearance: BPSS+
IR35: Inside IR35

About the Role

A leading organisation within the defence and secure technology sector is seeking a Senior Scientist specialising in Cyber Security of AI/ML. This position sits within an advanced research and innovation function, working on high-impact cyber security challenges where no existing solutions currently exist. The successful applicant will contribute to research, innovation, knowledge transfer, and prototype development in the field of Cyber-AI/ML security.

Key Responsibilities

Innovation & Research

• Lead and deliver AI/ML-focused cyber security research projects.
• Conduct research into emerging digital security threats and opportunities.
• Produce technical reports, white papers, prototypes and research outputs.
• Contribute to patent applications and academic or industry publications.

Collaboration & Consultancy

• Work closely with internal R&D, engineering and security teams.
• Support academic partnerships, innovation programmes, and external collaborations.
• Provide consultancy on specialist cyber security topics across the organisation.

Coordination & Knowledge Transfer

• Build strong internal networks across technical and security domains.
• Represent the innovation function in internal and external engagements.
• Support integration of research outcomes into operational security practices.

Essential Skills & Qualifications

• Bachelor’s degree in Artificial Intelligence, Machine Learning, Computer Science or related discipline.
• Recent PhD or Master’s degree focusing on Cyber Security of AI/ML.
• Deep understanding of AI/ML algorithms, vulnerabilities, and applications.
• Strong Python programming and software development experience.
• Experience in research, innovation, or solution development within relevant domains.

Desirable Skills

• Industry experience applying AI/ML to cyber security.
• Academic publication track record.
• Experience with NDAs, IPR, IP management or patent processes.
• Experience in data analytics or AI/ML techniques applied to security problems.

How to Apply

If you have strong expertise in AI/ML and a passion for advancing cyber security research, please submit your CV for immediate consideration.

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Role: Tech lead - AWS Connect AILocation: Luton, UK (Hybrid 3days)Duration: 6+ Months
Roles and responsibilities:Design, develop, and implement automation solutions and AI-driven applications to optimise network control processes.Utilise AWS Bedrock, AWS Quicksuite, and AWS SageMaker, AWS Quicksuite and AWS Connect to build, deploy, and maintain scalable machine learning and automation pipelines.Collaborate with cross-functional teams, including operations, data science, and Product, to define requirements and deliver robust solutions.Monitor, troubleshoot, and enhance existing automation and AI systems to ensure high availability and performance.Stay abreast of new AWS features and emerging technologies in automation and AI, applying best practices to drive continuous improvement.
Supervisory / Managerial responsibilitiesBachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.Proven experience in software engineering with a focus on automation and AI applications.Hands-on expertise with AWS Bedrock, AWS Quicksuite, and AWS SageMaker.Strong programming skills in Python, Java, or similar languages commonly used for AI and automation.Experience in designing and operationalising machine learning models in a production environment.Excellent problem-solving skills and the ability to work collaboratively in a fast-paced setting.Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.Familiarity with airline operations or network control systems.Knowledge of DevOps practices and infrastructure as code.Experience with cloud security and data governance.
Core skills:Devops/ Platform Team interaction modelsProduct-aligned Team StructuresSRE and platform engineering concepts

Senior Software Engineer Location: Gloucester ( hybrid – typically 3 days onsite ) Contract: 12 months (strong likelihood of extension) Rate: £54 per hour umbrella ?? IR35: Inside IR35 Sector: Engineering / Aerospace The Opportunity We are looking for a Senior Software Engineer at an early–mid stage in their career who is ready to take on greater technical ownership and leadership , while remaining fully hands-on. This role is suited to someone who has moved beyond task-based delivery and is now comfortable owning systems or features end to end , guiding others, and helping shape how software is built and maintained. You’ll work on practical, production software that supports engineering teams day to day. While some solutions use data-driven or automation techniques (including AI/ML), the role is fundamentally about strong software engineering , sound judgement, and reliability. What You’ll Be Doing Hands-on software engineering Design, build, test and maintain robust software solutions Take ownership of existing systems, improving reliability and maintainability Diagnose and resolve issues in live environments Emerging technical leadership Act as a local technical point of contact within the team Support and guide junior engineers and apprentices on day-to-day work Contribute to technical decisions and promote good engineering practice System and data integration Work with databases, data pipelines and system integrations Ensure data quality, consistency and traceability across systems Adapt and evolve tooling as requirements change Collaboration & delivery Work closely with engineers, analysts and stakeholders to understand real needs Collaborate with international teams to align approaches and share best practice Balance delivery speed with long-term sustainability Continuous improvement Identify opportunities to simplify, automate or improve existing systems Maintain clear technical documentation Contribute ideas to improve development standards and ways of working What We’re Looking For Essential: Demonstrated experience delivering production software in a professional environment Strong software engineering fundamentals , with a bias toward pragmatic, maintainable solutions Proficiency in Python (or a similar high-level language) Experience working with APIs, databases and integrated systems Evidence of technical ownership — taking responsibility for systems, components or features The confidence and capability to guide and support other engineers , even if you haven’t formally managed a team Ability to pick up unfamiliar systems quickly and work with minimal hand-holding Clear communication skills and a collaborative mindset Desirable: Experience in engineering, industrial or regulated environments Exposure to cloud platforms (e.g. AWS) Experience with data-heavy systems, automation or analytics Some familiarity with machine learning or optimisation concepts (not essential) Why Join A 12-month contract with strong extension potential Competitive £54/hr umbrella rate (inside IR35) A chance to step into a technical leadership role while staying hands-on Ownership of real systems with visible impact Collaboration with experienced engineers across UK and international teams TPBN1_UKTJ

Rate: £400-470/day inside IR35
Location: Bristol, hybrid
Reports To: Head of Data Governance

6 month contract

Purpose:
The Performance Info Engineer is responsible for designing, developing, testing, and maintaining high-quality data products and pipelines that support business intelligence, analytics, and decision-making. This includes transforming and integrating data from multiple sources, ensuring alignment with architectural standards, and enabling actionable insights for project safety, quality, time, and cost management.

Key Responsibilities:

• Translate business requirements and designs into technical solutions.
• Develop, test, and deploy data products using Databricks, Power BI, SQL, Python, Scala, and other technologies.
• Build, optimize, and maintain ETL/ELT pipelines and data flows for batch and streaming processes.
• Document data mappings, transformations, and lineage; re-engineer manual processes for scalability and automation.
• Ensure adherence to data standards, security, GDPR, and quality requirements.
• Use agile methodologies (Azure DevOps) to manage tasks, dependencies, and deliverables.
• Support continuous improvement, monitoring, and CI/CD deployment of data products.

Knowledge & Skills:

• Strong technical knowledge of data engineering, BI, and analytics.
• Ability to communicate technical concepts to non-technical stakeholders.
• Problem-solving and proactive approach to improving data pipelines.
• Knowledge of data ethics, security, and legal obligations.

Qualifications & Experience:

• Degree or equivalent in a relevant field.
• Experience in CI/CD, agile software engineering, SQL, Python/Scala, and R.
• Professional qualifications in software engineering or information analysis are desirable.
• Experience in nuclear, safety-critical, or regulated industries is advantageous.

An urgent contract opportunity is available for an experienced Salesforce Developer to support the delivery and enhancement of a large-scale public-sector Salesforce platform. This role sits within an established delivery team working on complex, business-critical services using Salesforce Public Sector Solutions.

The successful candidate will be responsible for building, extending, and maintaining Salesforce capabilities, working closely with technical leads, delivery managers, and client stakeholders. This role requires strong hands-on development experience across Salesforce Industries and OmniStudio, with the ability to contribute to high-quality, sustainable solutions in a fast-paced environment.

Whats on offer

• Contract length: 6 months, with potential extension
• Rate: Up to £600 per day (Inside IR35)
• Location: Hybrid, London (occasional on-site attendance desirable but not essential)
• Start date: ASAP
• Opportunity to work on a high-impact Salesforce Public Sector Solutions programme
• Collaborative Agile delivery environment

What you need to be successful

• Strong commercial experience as a Salesforce Developer
• Proven hands-on delivery using Salesforce Industries / Public Sector Solutions
• Mandatory experience with OmniStudio, including:OmniScripts,Omni Processes / Integration Procedures,Data Mappers (formerly DataRaptors)
• Strong experience building Salesforce Flows (screen, triggered, and API flows)
• Ability to design and implement custom Apex classes and Lightning Web Components (LWC)
• Solid understanding of Apex security and sharing models
• Experience working with Git-based CI/CD pipelines
• Familiarity with Jira, Confluence, or equivalent delivery tooling
• Experience integrating Salesforce with other systems (e.g. MuleSoft, Apigee, Connected Apps) is desirable
• Ability to build, test, and document scalable and sustainable solutions
• Active SC clearance (or eligibility) is required
• Salesforce certifications such as Platform Administrator, Platform Developer, App Builder, or Public Sector Solutions accreditation are highly desirable.

O.K. I’m in what’s next?
Apply with your latest CV below

Job title: Graduate Machine Learning and AI Engineer

Location: Edinburgh

Hybrid role working 2 days a week in the office

Salary: 30,000 to 38,000

Contract: 12-month fixed term contract

Our market-leading financial services client is seeking an a motivated, detail focused Graduate Machine Learning and AI Engineer to join the Business Transaction Banking division.

This role involves building and optimising agent workflows, integrating LLMs with internal tools/data. Additionally, you will have the opportunity to be involved with model deployment, automation & CI/CD. You will also be deploying these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation.

Key Responsibilities

• Model Deployment: Take trained AI/ML models and package them into deployable artefacts (e.g., Docker images).
• Kubernetes Orchestration: Deploy these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation.
• Automation & CI/CD: Build pipelines for automated deployment, testing, and monitoring of models.
• Environment Management: Handle containerisation (Docker), networking, and configuration for production environments.
• Monitoring & Logging: Implement tools to track model performance, resource usage, and system health.

Skills and Experience

• Have research or practical experience with machine learning engineering and artificial intelligence
• Experience using the following: Python, Kubernetes, Docker.
• Experience using CI/CD Tools: Jenkins, GitHub Actions, or Azure DevOps.
• Experience using Cloud Platforms: AWS, Azure, or GCP.
• Basic Machine Learning Knowledge: Understanding of how models work to troubleshoot deployment issues.
• Great attention to detail
• Analytical mindset and uses a methodological approach to complete tasks.
• Resilient Confident, professional, and able to work effectively with multiple teams.

You will be a valued member of our Adecco Emerging Talent function working onsite with a market-leading organisation, initially, the assignment is 12 months with scope for extension in the future, so you need to be someone with a permanent mindset!

If you have the experience and desire to work for a well-respected organisation offering personal and professional support, growth and development, then you could be a perfect fit for the team and we want to hear from you - APPLY NOW.

Please be advised if you haven’t heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.

Adecco Emerging talent is an employment consultancy and operates as an equal opportunities’ employer.

Data Scientist: Country Risk & Advanced Analytics Join an integrated team of economists, political scientists, and computer scientists to shape the strategic decisions of the world’s leading organizations. How You’ll Make an Impact: Innovate: Prototype new approaches for extracting insights from structured and unstructured data. Build: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data. Collaborate: Partner with cross-domain experts to turn non-technical ideas into scalable, interpretable research designs. Deploy: Develop and maintain robust ML pipelines for both experimentation and production.Who You Are: Technical Expert: You have substantial experience with Python or R, and are skilled in querying and analyzing big data. NLP Specialist: You have a proven track record of developing and refining NLP models. Clear Communicator: You can explain complex ML/NLP methodologies to non-technical stakeholders with ease. Methodical: You are familiar with experiment tracking (DVC, Weights & Biases) and model evaluation metrics.Stand Out From the Crowd: Candidates with an advanced degree in ML/NLP, exposure to cloud platforms (AWS, Databricks, Snowflake), or experience in agile, fast-paced environments are highly encouraged to apply or share your updated CV to saisaranya.gummadi @ Randstad Technologies is acting as an Employment Business in relation to this vacancy

Lead / Senior Java/ Python Engineers
Big 4 Consultancy
12 month contract
On site in London

Location : London (5 days in office)
Duration 12 months
Key Skills
Proficient in Java / Python concepts and proficient advanced experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability, particularly in cloud environments.
Advanced knowledge of cloud-based systems, artificial intelligence, and machine learning, with considerable in-depth knowledge in implementing solutions using AWS.
Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation.
Practical cloud-native experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability).
Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models.
Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated testing, and SRE practices.
One Team Lead also required to lead the team of 4 who can demonstrate a background in the following:

Technical leadership and architecture
Delivery ownership
AI/ML solution stewardship
People leadership
Stakeholder and product partnership
Controls and governance

My client is seeking to recruit a Solution Architect on an initial 6 month contract for a Financial Services client based in London. It is hybrid and will require 3x days onsite per week. Responsibilities:

1. Responsible for overseeing architectural standards across the Development Team
2. Create and improve architectural standards for on premise and azure cloud software products, develop cloud migration procedures and guidelines.
3. Assist in cloud migration projects, assess readiness and dependencies, optimize for the Cloud.
4. Create and review blueprints for software products, provide guidance on improving architecture.
5. Coding mission critical parts and performing code reviews.
6. Assist on integrating AI technologies to improve existing systems.

Key Skills required:

1. Extensive experience working as a software and solutions architect.
2. Experience in designing of high-level concepts for software solutions.
3. Experience in development of Azure cloud-based as well as on-prem solutions.
4. DevOps and SCRUM experience
5. Experience in Cloud migration planning and execution
6. Ability to code in C#
7. Knowledge and experience of Agile methodology
8. Knowledge of Cloud and AI technologies that can be adopted into the workplace

On behalf of one of our premier clients, we are seeking a high-caliber Cybersecurity Specialist to join their expanding AI & Data Security team. This is a critical role within our client’s AI Security programme, designed for a professional who thrives at the intersection of traditional infrastructure security and the emerging frontier of Generative AI.

Our client is at the forefront of AI adoption; you will be the technical lead ensuring that these powerful technologies from AWS Bedrock to Azure OpenAI are implemented with world-class security standards.

Core Requirements (Non-Negotiable):

• Network Encryption: Master Proficiency is required. You must have deep expertise in securing data in transit, cryptographic protocols, and enterprise-scale encryption management.
• Microsoft Azure Active Directory (Entra ID) Security: Master Proficiency is suggested. Extensive experience in identity governance, conditional access, and securing cloud identities is critical.

AI & Emerging Technology (Recommended):

• Secure AI: Expert Proficiency is highly recommended. This includes knowledge of model security, deployment patterns, and the safe operationalization of foundation models.
• AI Agents: Intermediate Proficiency suggested. Experience in the security implications of autonomous agents and LLM-integrated workflows.
• Amazon Bedrock & Microsoft Azure AI Foundry: Intermediate Proficiency suggested. Practical experience with these specific platforms and their native security controls.

Key Responsibilities

• Innovative Strategy: Develop and implement security strategies that enhance application security while enabling AI adoption.
• Security Governance: Translate platform-specific risks (AWS Bedrock, Azure OpenAI) into actionable engineering patterns and governance controls.
• Assessments & Audits: Conduct regular security assessments and audits to identify vulnerabilities across the AI and data landscape.
• Cross-Functional Collaboration: Partner with multiple teams to ensure security best practices are integrated into the development lifecycle.
• Mentorship: Act as a subject matter expert, managing team decisions and mentoring members on modern application security principles.

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

Job Specification: AI Architect - Insurance Sector

Role: AI Architect

Sector: Insurance

Location: London (Hybrid: 1-3 days in-office/client site)

Duration: 12 Months Initial (Long-Term Expectation)

IR35 Status: Expected Outside IR35

Start Date: April 1st

Role Overview

We are seeking a highly experienced, consultative AI Architect to join a major managed service engagement with a leading Insurer.

The client is in the early stages of adopting Generative AI (Gen AI) and requires an architect who can define the strategic direction, establish architectural patterns, and guide the organization from discovery through to scalable implementation. This is a senior, technology-focused position that requires deep expertise in Gen AI architecture, tooling evaluation, and integration.

This is explicitly not a data engineering or classic data platform build role; the focus is on architectural direction, solution design, and low-maturity organizational uplift.

Key Responsibilities

The architect will be central to helping the client understand, qualify, and scale their AI capability:

• Gen AI Strategy & Use Case Identification: Identify, qualify, and shape early Gen AI use cases across the business. Assess feasibility and recommend the most effective technical approach.
• Architectural Design: Create high-level architectures demonstrating how Gen AI components (including LLMs) integrate cleanly into the existing enterprise estate (which currently includes Azure and Snowflake).
• Model & Tooling Evaluation: Compare model families, implementation patterns (e.g., RAG patterns), and platforms (Azure native and broader market options). Provide clear pros and cons to explain trade-offs and recommend the right fit.
• Integration & Middleware: Deeply understand middleware, integration layers, and enterprise patterns to ensure AI components connect cleanly with existing operational systems and workflows.
• Scaling & AI Ops Guidance: Guide the client through early-stage adoption and help them build a repeatable model for scaling Gen AI, supporting the transition from discovery into delivery and establishing AI Ops practices.
• Team Collaboration: Work closely with BAs, Product Owners, Data specialists, and technical SMEs within a large, globally distributed delivery team.

Required Experience and Skills

Technical Architecture

• Deep AI Architecture: Strong background in Gen AI architecture, particularly in designing and implementing end-to-end AI solutions in a commercial environment (not limited to just LLMs).
• LLM Focus: Solid understanding of RAG patterns, model orchestration, prompt design, and guardrails.
• Platform Flexibility: Experience evaluating and implementing model families across Azure and non-Azure environments. Broad cloud knowledge across Azure and at least one other major provider is required.
• Integration: Expert knowledge of enterprise integration and middleware patterns is essential for embedding AI into existing operational flows.

Consultative & Professional Skills

• Low-Maturity Uplift: Proven experience working with organizations with low AI maturity, helping them define what Gen AI can do, where to start, and how to scale.
• Consultative Approach: Ability to assess benefits and constraints and provide clear architectural direction without heavy sign-off structures.
• Team Collaboration: Ability to operate effectively within mixed functional teams and contribute to a globally distributed delivery team that spans different time zones.

Logistics

• Start Date: Targeted for end of Q1.
• Interview Process: The selection process will conclude by Mid-March
• Working Pattern: Hybrid model, requiring 1 to 3 days per week on-site in London, based on programme demand.

Data Scientist: Country Risk & Advanced Analytics

Join an integrated team of economists, political scientists, and computer scientists to shape the strategic decisions of the world’s leading organizations.

How You’ll Make an Impact:

• Innovate: Prototype new approaches for extracting insights from structured and unstructured data.
• Build: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data.
• Collaborate: Partner with cross-domain experts to turn non-technical ideas into scalable, interpretable research designs.
• Deploy: Develop and maintain robust ML pipelines for both experimentation and production.

Who You Are:

• Technical Expert: You have substantial experience with Python or R, and are skilled in querying and analyzing big data.
• NLP Specialist: You have a proven track record of developing and refining NLP models.
• Clear Communicator: You can explain complex ML/NLP methodologies to non-technical stakeholders with ease.
• Methodical: You are familiar with experiment tracking (DVC, Weights & Biases) and model evaluation metrics.

Stand Out From the Crowd: Candidates with an advanced degree in ML/NLP, exposure to cloud platforms (AWS, Databricks, Snowflake), or experience in agile, fast-paced environments are highly encouraged to apply or share your updated CV to removed)

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

Lead / Senior Java/ Python Engineers
Big 4 Consultancy
12 month contract
On site in London

• Location : London (5 days in office)
• Duration 12 months
• Key Skills

1. Proficient in Java / Python concepts and proficient advanced experience.
2. Hands-on practical experience delivering system design, application development, testing, and operational stability, particularly in cloud environments.
3. Advanced knowledge of cloud-based systems, artificial intelligence, and machine learning, with considerable in-depth knowledge in implementing solutions using AWS.
4. Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation.
5. Practical cloud-native experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability).
6. Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models.
7. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated testing, and SRE practices.

One Team Lead also required to lead the team of 4 who can demonstrate a background in the following:

• Technical leadership and architecture
• Delivery ownership
• AI/ML solution stewardship
• People leadership
• Stakeholder and product partnership
• Controls and governance

Join our client in embarking on an ambitious data transformation journey using Databricks, guided by best practice data governance and architectural principles. To support this, we are recruiting for talented data engineers. As a major UK energy provider, our client is committed to 100% renewable energy and sustainability, focusing on delivering exceptional customer experiences.

It is initially a 6-month contract with potential to be extended. The role is Hybrid, with one day a week being based in their Nottingham office every two weeks, this is negotiable. It is a full-time role.

Accountabilities:

Develop and maintain scalable, efficient data pipelines within Databricks, continuously evolving them as requirements and technologies change.

Build and manage an enterprise data model within Databricks.

Integrate new data sources into the platform using batch and streaming processes, adhering to SLAs.

Create and maintain documentation for data pipelines and associated systems, following security and monitoring protocols.

Ensure data quality and reliability processes are effective, maintaining trust in the data.

Be comfortable with taking ownership of complex data engineering projects and develop appropriate solutions in accordance with business requirements.

Able to work closely with stakeholders and managing their requirements.

Actively coach and mentor others in the team and foster a culture of innovation and peer review within the team to ensure best practice.

Knowledge and Skills:

Extensive experience of Python preferred, including advanced concepts like decorators, protocols, functools, context managers, and comprehensions.

Strong understanding of SQL, database design, and data architecture.

Experience with Databricks and/or Spark.

Knowledgeable in data governance, data cataloguing, data quality principles, and related tools.

Skilled in data extraction, joining, and aggregation tasks, especially with big data and real-time data using Spark.

Capable of performing data cleansing operations to prepare data for analysis, including transforming data into useful formats.

Understand data storage concepts and logical data structures, such as data warehousing.

Able to write repeatable, production-quality code for data pipelines, utilizing templating and parameterization where needed.

Can make data pipeline design recommendations based on business requirements.

Experience with data migration is a plus.

Open to new ways of working and new technologies.

Self-motivated with the ability to set goals and take initiative.

Driven to troubleshoot, deconstruct problems, and build effective solutions.

Experience of Git / Version control

Experience working with larger, legacy codebases

Understanding of unit and integration testing

Understanding and experience with CI/CD and general software development best practices

A strong attention to detail and a curiosity about the data you will be working with.

A strong understanding of Linux based tooling and concepts

Knowledge and experience of Amazon Web Services is essential

Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

Join Our Client as an AI Workspace Engineer!

Are you ready to embark on an exciting journey at the forefront of innovation in the banking industry? Our client, a leading financial services organization, is seeking a passionate and skilled AI Workspace Engineer to join their dynamic Innovation Team for a 6-month temporary contract. This is a unique opportunity to shape the future of enterprise AI and help redefine how their teams work!

Role: AI Workplace Engineer

Duration: 6 Months

Location: London (Hybrid, 3 days a week in office)

Rate: 745 per day (umbrella)

About the Role:

As an AI Workspace Engineer, you will play a pivotal role in leading the technical delivery, governance, and optimization of enterprise AI productivity platforms. You will focus on leveraging cutting-edge technologies such as Microsoft 365 Copilot and Google Workspace Gemini, among other AI tools, to enhance collaboration and automate processes.

Key Responsibilities:

• Lead Integration:Spearhead the technical enablement of Microsoft 365 Copilot, Google Workspace Gemini, and NotebookLM.
• Build AI Solutions:Create and embed AI-powered solutions using platform APIs and automation tools.
• Subject Matter Expert:Act as the go-to expert for enterprise AI workspace technologies, supporting various teams across the organization.
• Integrate Capabilities:Connect AI features with enterprise systems to enable seamless workflows.
• Develop Resources:Create reusable prompts and templates to standardize AI solution delivery.
• Ensure Compliance:Collaborate with security and risk teams to maintain secure and compliant operations of AI tools.
• Lifecycle Management:Oversee the deployment, monitoring, and optimization of AI workspace solutions.
• Support Adoption:Provide technical guidance and enablement to teams and users for a smooth transition.
• Evaluate Enhancements:Stay updated on new features from Microsoft and Google to recommend strategic improvements.

What You Need to Succeed:

Essential Qualifications:

• Hands-on experience with Microsoft 365, especially Copilot and Graph API.
• Proficiency in Google Workspace, including Gemini and NotebookLM.
• Proven ability to integrate AI capabilities into business applications and workflows.
• Understanding of enterprise identity, data governance, and security controls.

Technical Skills:

• Knowledge of Microsoft Graph API, Workspace APIs, and cloud AI services.
• Ability to build extensions using Power Automate and Apps Script.
• Familiarity with Responsible AI practices and enterprise architecture basics.

Mindset and Behaviours:

• A curious and self-driven individual passionate about emerging AI technologies.
• Strong problem-solver who enjoys learning through experimentation.
• Excellent communicator capable of simplifying technical concepts for non-technical stakeholders.
• A collaborative team player eager to work across various domains.

Desirable Certifications:

• Microsoft 365 Enterprise Administrator Expert
• Microsoft Azure Solutions Architect Expert
• Google Professional Collaboration Engineer or relevant Google Cloud certifications

Why Join Us?

This is your chance to make a significant impact in an innovative environment where AI capabilities are rapidly evolving. If you’re excited about utilizing your expertise to drive change and enhance productivity, we want to hear from you!

Candidates will ideally show evidence of the above in their CV in order to be considered.

Please be advised if you haven’t heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunities employer.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Adecco / Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

Job Title: Senior AI Automation Engineer

Contract: 6 months

Location: London - Hybrid (2 to 3 days a week in office)

Rate: 800 - 850 inside umbrella

About the Role:

Our client is seeking a Senior AI Automation Engineer to take the lead in designing and delivering cutting-edge AI and automation solutions across their core platforms, including UiPath, Azure AI, and Tungsten Automation. As a hands-on expert, you will play a pivotal role in enhancing the organization’s internal capabilities and ensuring seamless integration across various technologies.

What You’ll Be Doing:

• Technical Ownership: Take charge of the bank’s UiPath and Tungsten Automation platforms, ensuring they align with innovation goals.
• Solution Design: Develop AI and automation-driven solutions that drive efficiency and effectiveness.
• Integration Mastery: Build robust integrations between Copilot Studio, UiPath, Azure AI, and Tungsten Automation.
• Prototype Development: Create prototypes, proofs-of-concept, and pilot-ready technical solutions that set the standard for excellence.
• Secure Architecture: Define and maintain secure integration patterns across all platforms, ensuring compliance with enterprise standards.
• Capability Exploration: Stay ahead of the curve by exploring new platform capabilities and AI features.
• Collaboration: Work closely with Architecture, Cybersecurity, and InfoSec teams to ensure all solutions meet security and regulatory requirements.
• Knowledge Sharing: Produce comprehensive documentation and provide knowledge transfer to the wider Innovation team.

What We’re Looking For:

Essential:

• Hands-On Expertise: Strong experience with UiPath development and architecture.
• AI Proficiency: Familiarity with Azure AI / Microsoft AI Foundry and AI-driven integrations.
• Integration Skills: Solid engineering skills, particularly in APIs, authentication, and secure design patterns.
• Coding Knowledge: Practical experience with coding languages such as Python, C#, or PowerShell.
• Industry Background: Experience in banking or other regulated industries is a plus.
• Security Awareness: A good understanding of enterprise security, data protection, and responsible AI principles.

Desirable

• Experience with Tungsten Automation or similar document automation / IDP platforms

Nice to Have

• Familiarity with Copilot Studio extensibility (calling external services).
• Experience with Power Platform (Power Automate, Power Apps).
• Knowledge of M365 Copilot integration patterns.
• Understanding of cloud integration (APIM, private endpoints, secure connectivity).
• Experience working in global or distributed technical teams.

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.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Principal Data Architect (Contract)

We are recruiting for an experienced Principal Data Architect to lead the design and delivery of enterprise-scale cloud data platforms for a large, complex organisation. This is a hands-on architecture role with real ownership across data strategy, platform design, governance and delivery.

You will define end-to-end data architecture for high-impact programmes, working across cloud data platforms, analytics, and advanced data use cases. The role covers solution architecture, data modelling, integration patterns, security, governance and cost optimisation, while partnering closely with senior technical and business stakeholders.

Key Responsibilities

• Own and define enterprise data architecture across large-scale initiatives
• Design logical and physical data models and platform architectures
• Lead cloud data platform implementations and migrations
• Define data governance, security, lineage, RBAC and compliance controls
• Oversee data pipelines, ETL/ELT, CDC, streaming and integrations
• Optimise performance and cost across platforms such as Snowflake and Azure
• Support analytics, reporting, ML and AI use cases
• Act as a trusted advisor to senior stakeholders

Essential Skills & Experience

• Strong background in Data Architecture and Cloud Data Platforms
• Hands-on experience with Snowflake, Azure, Databricks and/or Microsoft Fabric
• Data integration, ETL/ELT, APIs, streaming technologies
• Data modelling (relational, dimensional, NoSQL)
• Data governance, security, GDPR and compliance frameworks
• Experience delivering complex data migrations or modernisation programmes

This role suits a senior/principal-level architect who enjoys ownership, delivery and influencing at scale.

Apply now for a confidential discussion