AWS Solution Designer – GenAI (Contract)

We’re working with a leading enterprise organisation seeking an AWS Solution Designer with strong Generative AI experience to lead the end-to-end design and delivery of GenAI solutions within complex environments.

This is a hands-on, delivery-focused role combining technical leadership with stakeholder engagement, ideal for someone who has designed and implemented LLM and RAG-based solutions on AWS.

Key Responsibilities

* Design and deliver end-to-end GenAI solutions on AWS

* Lead LLM model creation, fine-tuning, benchmarking and evaluation

* Design and implement RAG (Retrieval Augmented Generation) architectures

* Define and run LLM evaluation frameworks covering accuracy, safety and robustness

* Own delivery of AI and data initiatives, ensuring governance, quality and timelines

* Work closely with senior stakeholders to translate business requirements into scalable AI solutions

Essential Skills & Experience

* Strong background as an AWS Solution Architect / Solution Designer / GenAI Architect

* Proven hands-on experience with Generative AI, LLMs and RAG

* Experience with model fine-tuning, evaluation and benchmarking

* Solid AWS cloud architecture experience

* Demonstrated delivery ownership and stakeholder management experience

* Ability to operate as a techno-managerial lead in enterprise environments

Nice to Have

* Experience delivering AI solutions in regulated or large-scale organisations

This role offers the opportunity to work on high-impact GenAI initiatives, shaping production-grade AI solutions rather than proofs of concept.

Apply now to discuss further details

Position: Senior Agentic & Generative AI Consultant
Location: London, United Kingdom (Hybrid)
Fixed term contract or permanent position

Role Overview

We are seeking a Senior Agentic & Generative AI Consultant who is a recognized thought leader and hands on practitioner in modern AI systems. This individual will play a pivotal role in shaping AI led transformation for enterprise clients, leading complex deals, architecting solutions, and translating cutting edge AI capabilities into measurable business outcomes.

This role requires a rare combination of deep technical expertise, strategic thinking, and client facing leadership. The successful candidate will work closely with business leaders, architects, and delivery teams to design and deliver agentic, generative, and enterprise scale AI solutions, while also influencing AI strategy and go to market motions

Key Responsibilities

AI Strategy & Thought Leadership

Act as a senior thought leader in Agentic AI and Generative AI, shaping client conversations, executive briefings, and AI transformation roadmaps

Advise C‑suite and senior stakeholders on AI strategy, operating models, governance, and responsible AI adoption

Contribute to internal AI points of view, reference architectures, accelerators, and best practices

Stay ahead of industry trends in agentic systems, foundation models, orchestration frameworks, and enterprise AI platforms

Deal Leadership & Solutioning

Lead AI‑led deal pursuits, including opportunity shaping, solution design, estimations, and executive presentations

Own the end‑to‑end solution architecture for complex AI engagements, from discovery through implementation

Partner with sales, industry leaders, and delivery teams to craft compelling AI value propositions and business cases

Act as a trusted advisor during client evaluations, PoCs, and pilots

Hands‑on Technical Leadership

* Design and guide the implementation of Agentic AI systems, including:

* Multi‑agent architectures

* Tool‑using and reasoning agents

* Human‑in‑the‑loop workflows

* Orchestration and memory patterns

* Lead solution design using Generative AI and LLM ecosystems, including:

* Prompt engineering and prompt pipelines

* RAG (Retrieval‑Augmented Generation) architectures

* Model fine‑tuning and evaluation strategies

* Provide technical oversight and mentoring to engineering and data science teams

Enterprise AI Delivery & Governance

Design AI solutions that integrate with enterprise systems (e.g., ERP, CRM, digital platforms, data platforms)

Ensure solutions align with security, compliance, data privacy, and responsible AI principles

Define AI operating models covering lifecycle management, monitoring, cost optimization, and scalability

Required Skills & Experience

Core Experience

15+ years of experience in technology consulting, digital transformation, or advanced analytics

5+ years of hands‑on experience in AI / ML, with strong recent focus on Generative AI and Agentic AI

Proven experience leading complex enterprise deals and large‑scale solutioning efforts

Technical Expertise

* Strong hands‑on experience with:

* Large Language Models (LLMs) and GenAI platforms

* Agentic frameworks and orchestration patterns

* RAG pipelines, vector databases, and embeddings

* Experience across major AI ecosystems (e.g., cloud AI platforms, open‑source LLM tooling)

* Solid understanding of data engineering, APIs, and enterprise integration patterns

Consulting & Leadership Skills

* Strong client‑facing presence, capable of leading executive‑level discussions

* Ability to translate complex AI concepts into clear business value narratives

* Experience mentoring senior architects, engineers, and consultants

* Comfortable operating in ambiguous, fast‑evolving AI landscapes

Nice to Have

* Experience with enterprise platforms (e.g., ERP, digital experience platforms, CRM, or industry‑specific systems)

* Exposure to regulated industries (financial services, healthcare, public sector, etc.)

* Publications, speaking engagements, or visible contributions to the AI community

* Experience shaping AI Centres of Excellence (CoEs) or enterprise AI operating models

What We Offer

* Opportunity to shape and lead AI transformation for global enterprises

* Work at the forefront of Agentic and Generative AI innovation

* High‑impact role with visibility across senior leadership and marquee clients

* Competitive compensation and benefits

* Flexible working model based in London

Duration: 3-6 months

IR35 Status: Outside IR35

Location: Fully Remote Working

We are partnering with an ambitious start-up venture building a next-generation AI-powered decision intelligence platform for cybersecurity leaders. They are seeking an experienced contract AI Systems Architect to lead the architecture and delivery of a structured, guard railed AI engine designed for enterprise use. This is a high-impact contract role suited to someone who thrives at the intersection of product logic and advanced AI systems design. The successful contract AI architect will oversee the build of the core intelligence system, working directly with the founders.

Key Responsibilities

Architecture & System Design

• Define the end-to-end AI pipelines
• Design structured JSON schemas for inputs and outputs
• Architect a robust RAG framework (vector database, chunking strategy etc)
• Design domain and geography-aware retrieval logic

AI Orchestration & Guardrails

• Develop modular, section-based prompt orchestration
• Enforce structured JSON outputs
• Implement hallucination controls and citation enforcement
• Introduce prompt version control
• Build section confidence scoring and validation logic

Retrieval & Evidence Framework

• Define ingestion structures for curated regulatory and incident sources
• Oversee embedding and chunking strategy
• Implement evidence weighting tiers
• Ensure citation traceability and validation

Technical Leadership

• Act as technical lead across the offshore development team
• Define sprint scope and architectural standards
• Review pull requests and technical decisions
• Ensure delivery aligns with product logic
• Maintain pragmatic scope control

Key Experience

• Proven experience building production-grade LLM systems
• Hands-on RAG implementation
• Experience with OpenAI and Anthropic APIs
• Strong vector database experience
• Backend architecture expertise (Node.js or Python)
• Experience designing structured JSON pipelines
• Experience working with offshore development teams
• B2B SaaS background would be highly desirable

This is a unique position that allows a contractor the opportunity to architect a structured AI intelligence system from first principles in a high-autonomy environment. If you’re a UK-based contract AI systems architect with deep RAG experience and strong product logic instincts, please apply to the role immediately.

Spectrum IT Recruitment (South) Limited is acting as an Employment Business in relation to this vacancy.

3 months
Remote
Inside IR35 - Umbrella only

Overview
The client requires strong Python Developers with deep, hands-on AWS experience.
This is an application-focused role - DevOps/operations-heavy profiles are not suitable for this engagement.

Most Important

Strong Python Developer (5+ years hands-on development experience)
Strong AWS experience (hands-on, application-focused)Essential Technical Requirements
Python Development

5+ years of hands-on development experience (not scripting/automation roles)
Strong knowledge of boto3 API
Experience building RESTful applications
Strong understanding of testing frameworks, unit testing, and regression testing methodologiesAWS Expertise

Deep understanding of AWS networking and IAM
Strong knowledge of IAM concepts (roles, users, resource policies, SCPs)
Experience hosting applications within AWS
Recent hands-on experience developing AWS Lambda (serverless)
Infrastructure as Code using CloudFormation (preferred) or Terraform
Strong understanding of AWS security best practicesAdditional Technical Skills

Flask API development
Python-based API development within AWS environmentsIt’s essential that you bring strong, hands?on Python development and AWS application experience. If this aligns with your background, we’d love to hear from you

Key Responsibilities: Design, implement, and maintain data pipelines to ingest and process OpenShift telemetry (metrics, logs, traces) at scale. Stream OpenShift telemetry via Kafka (producers, topics, schemas) and build resilient consumer services for transformation and enrichment. Engineer data models and routing for multi-tenant observability; ensure lineage, quality, and SLAs across the stream layer. Integrate processed telemetry into Splunk for visualization, dashboards, alerting, and analytics to achieve Observability Level 4 (proactive insights). Implement schema management (Avro/Protobuf), governance, and versioning for telemetry events. Build automated validation, replay, and backfill mechanisms for data reliability and recovery. Instrument services with OpenTelemetry; standardize tracing, metrics, and structured logging across platforms. Use LLMs to enhance observability capabilities (e.g., query assistance, anomaly summarization, runbook generation). Collaborate with platform, SRE, and application teams to integrate telemetry, alerts, and SLOs. Ensure security, compliance, and best practices for data pipelines and observability platforms. Document data flows, schemas, dashboards, and operational runbooks.
Required Skills: Hands-on experience building streaming data pipelines with Kafka (producers/consumers, schema registry, Kafka Connect/KSQL/KStream). Proficiency with OpenShift/Kubernetes telemetry (OpenTelemetry, Prometheus) and CLI tooling. Experience integrating telemetry into Splunk (HEC, UF, sourcetypes, CIM), building dashboards and alerting. Strong data engineering skills in Python (or similar) for ETL/ELT, enrichment, and validation. Knowledge of event schemas (Avro/Protobuf/JSON), contracts, and backward/forward compatibility. Familiarity with observability standards and practices; ability to drive toward Level 4 maturity (proactive monitoring, automated insights). Understanding of hybrid cloud and multi-cluster telemetry patterns. Security and compliance for data pipelines: secret management, RBAC, encryption in transit/at rest. Good problem-solving skills and ability to work in a collaborative team environment. Strong communication and documentation skills.

This 3-6 month contract for a Data Architect focuses on shaping and managing data architecture to support analytics initiatives. The role requires expertise in designing and implementing scalable data solutions.

Client Details

They are a not for profit organisation based in the North West

Description

• Design and implement robust data architecture frameworks to support analytics projects.
• Collaborate with cross-functional teams to ensure data solutions align with business objectives.
• Develop scalable data models and optimise database performance.
• Ensure data governance and compliance with relevant regulations.
• Provide technical guidance on data integration and transformation processes.
• Evaluate and recommend tools and technologies for data management.
• Document data architecture and maintain up-to-date records.
• Monitor and troubleshoot data-related issues to ensure seamless operations.

Profile

A successful Data Architect should have:

• Proven experience in data architecture and analytics within the life science industry.
• Strong knowledge of data modelling, database design, and data integration techniques.
• Expertise in relevant tools and technologies for data management and analytics.
• Understanding of data governance and regulatory compliance requirements.
• Ability to collaborate effectively with multidisciplinary teams.
• Strong problem-solving skills and attention to detail.

Job Offer

Daily rate of 450 to 600 - outside IR35

3 month contract, with likely extension

Fully remote role

Job Title: Senior Python Developer/Dev Team Lead

Location: Stratford office, London, UK

Style: Hybrid, 2 days per week

Level: Leadership

Contract: 6 months

• Very strong Python knowledge, not just generic.
• Experience has to be up to date with the latest version and deep knowledge of Python principles.
• The candidates need to be able to answer in depth knowledge questions about Python - practical experience with the latest version is essential, but they need to have worked and understood it also from theoretical perspective (eg studies, building things from scratch and scaling them, increasing efficiency etc.)
• Experience with AI or LLM required - the last open Dev TL role will have more technical focus on these areas than the other ones.
• Lead level experience, not just senior - the candidates should have worked as hands on team or technical leaders with either helping the team or making technical level decisions affecting the systems they are working on.

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

We are seeking a senior-level Lead Databricks Engineer to drive a large-scale Azure-to-Databricks transformation within a complex public sector environment. The role combines deep technical architecture capability with strong stakeholder engagement and governance oversight.

You will lead discovery, architecture design, migration planning, security hardening, and post-migration optimisation for an enterprise Azure Data Science Platform and Databricks-based MLS (Machine Learning Service) environment.

Strong stakeholder management is essential, this is a transformation journey, not just a technical implementation.

Discovery & Assessment

Produce a comprehensive Discovery and Assessment ReportConduct Azure tenant and subscription reviews
Identify configuration drift, governance gaps, and security risks
Assess workloads, integrations, and dependencies

Architecture & Design

Develop a Target Architecture Design Document (Databricks-based MLS)
Define landing zones, network topology, and security architecture
Design governance model using Unity CatalogProduce high- and low-level architecture documentation
Define runtime upgrade and environment standardisation strategy

Migration Planning & Execution

Deliver a Migration Plan and Runbook, Lead migration of;

• Azure SQL Databases, Storage Accounts, Virtual Machines (assessment and right-sizing), App Services and Function Apps, Azure Data Gateway/Power BI Gateway
• Plan and execute;
  Databricks workspace setup, Cluster and pool configuration, Unity Catalog implementation, Service principal reconfiguration,App registration provisioning (AD/Entra ID)

Cloud Infrastructure & Networking

Hands-on expertise required in;
Azure Portal environment review and governance setup, VNet architecture: Subnets, Peering, NSGs, Private Endpoints, Private DNS Zones

Security & Compliance

Monitoring, Optimisation & Governance

Databricks Expertise Required

Deep, hands-on experience with; Azure Databricks, Unity Catalog, Workspace, cluster, and pool management, Runtime upgrades and life cycle management, Private link connectivity, Secure enterprise integration,CI/CD integration (eg, Azure DevOps), Service principal RBAC elevation via automation Scripting

Azure Expertise Required

Advanced experience across; Microsoft Azure, Microsoft Entra ID (formerly Azure AD), Azure SQL Database migration, App Registrations and Service Principals, Key Vault (IAM-based model), Application Gateway & WAF, Azure Monitor & Log Analytics, Subscription and tenant-level governance

Stakeholder Management Expectations

• Engage senior technical and non-technical stakeholders
• Translate technical architecture into executive-level reporting
• Lead workshops and architecture reviews
• Manage transformation roadmaps
• Support procurement, risk, and compliance conversations

Public sector engagement experience strongly preferred.

Desirable Experience; AI/ML platform architecture within Databricks MLS, Public sector governance frameworks, Large-scale cloud modernisation programmes, Enterprise data platform design, Security-cleared environments

Security Clearance would be a distinct advantage.

Knowledge of AI and MLS with Databricks would make you a standout candidate.

Job title:AI Design Analyst (AI Foundry)Location- YBS Leeds and Bradford (3 days week onsite)Role descriptionWe are looking for an experienced AI Design Analyst (AI Foundry) with Function Data & AI 10+ years of experience to take end-to-end ownership.Key responsibilities: (Up to 10, Avoid repetition) Assess and shape AI and Copilot Use Cases aligned to strategic business objectives, shaping them into well defined proposals with clear value hypotheses and measurable success criteria. Engage with business teams to conduct deep analysis of business problems, workflows, processes and decision points to determine where AI can improve outcomes, efficiency or customer experience. Design AI enabled workflows, prompt patterns, user interactions and human in the loop models that maximise safety, transparency and user trust. Assess solution feasibility by evaluating data readiness, technical constraints, ethical considerations, compliance requirements and operational impacts. Map end to end processes, decision points, data dependencies and required human oversight. Assess feasibility, data readiness, ethical considerations and AI specific risks. Design AI enabled workflows, prompts and user experiences for Copilot scenarios. Support experimentation, prototyping and MVP definition with delivery teams. Ensure responsible AI principles (e.g., transparency, explainability, ISO42001) are incorporated into all designs Support experimentation and prototyping by defining MVP scope, evaluation criteria, testing parameters and adoption-readiness indicators. Engage with colleagues across the business to capture user perspectives, refine user needs, and ensure solutions align to real operational challenges and behaviours. Ensure responsible AI principles are embedded from design, including explainability, traceability, fairness, appropriate safeguards and risk informed checks. Provide structured analysis to support business cases, investment decisions, risk assessments, and prioritisation discussions at AI governance forums. Collaborate with teams to ensure designs are implementable, sustainable and aligned to enterprise architecture. Maintain a library of design artefacts, patterns and re usable assets to support repeatability and uplift design maturity across the AI Foundry. Managing escalations supporting the wider Data & AI Leadership team.Key skills/knowledge/experience: (Up to 10, Avoid repetition) Translate Divisional priorities into plans and deliverables to deliver overall Group strategic priorities Build the capability & capacity of functional resources to drive sustained commercial success Interpret & communicate the priorities for the Function, motivating and developing a high performing team Own functional priorities, applying specialist expertise to put the customer at the heart of everything and drive a profitable business Initiate and develop critical external and internal relationships which create value, collaborating to deliver commercial and customer priorities. Role model YBS Values, champion diversity and challenge behavior contrary to the Values Identify, define & oversee management of risks associated with delivery across YBS Uphold corporate legal & regulatory responsibilities Implement and manage transformation activity & harness innovation to create a high performing & sustainable businessPerson specificationFunctional/Technical (Role Specific)Essential Higher education qualification (or equivalent experience) in Ethics, Law, Risk Management, Social Sciences, Data/Computer Science or relevant field Proven experience working in digital, data or AI programmes in complex or regulated environments. Skilled at mapping processes, decision flows and user journeys to identify where AI, automation or Copilot can add value. Understanding of core AI concepts including LLMs, prompt engineering, automation, decision support and responsible AI. Experience assessing data quality, readiness, lineage and feasibility for AI enabled solutions. Ability to design end to end AI workflows including prompts, orchestration, guardrails and human in the loop models. Skilled in user research, facilitation, co design and requirements gathering workshops. Working knowledge of Copilot and Power Platform as well as Service Design/UX. Working knowledge of Microsoft Azure AI Fundamentals Excellent stakeholder management and communication skills, including senior level engagement. Commercial awareness and a value driven mindset. Familiarity with responsible AI and risk aware delivery practices. Familiarity with AI ethics, fairness, transparency and accountability principles Ability to translate complex technical and regulatory concepts into practical guidance Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise. Ability to be flexible and adaptable with the pace of technology and AI change.Sector (desirable) Understanding of financial services industry, markets and competitors Understanding of how financial services organisations operate and the associated regulatory environment, or other regulated industries. Awareness of the Mutual Sector and the needs and interests of Members.Commercial Ability to work with autonomy and make operational decisions Experience of delivering organisational change. Understanding of related functions and/or services outside of the role’s direct remit. Experience of managing a set of internal and external stakeholder relationships.Interpersonal Good interpersonal skills and ability to build and maintain strong working relationships Ability to work effectively in diverse teams. A problem-solving approach with curiosity and proactivity to engage and understand both the strategic business goals and our customer’s needs Ability to identify areas of improvement and create innovative approaches to delivering better quality service. Experience working in cross-functional teams and agile environments Ability to identify, nurture and realize the potential in others Strong communication, engagement and influencing skills Ability to effectively represent YBS through building collaborative relationships.

£550/day Inside IR-35

Portsmouth - 3 days per week on site

Initial 4 month contract

We’re looking for a Software Engineer to work within a Space Systems Engineering team, developing custom parallel algorithms and accelerating the processing of large-scale imagery and data on GPU platforms.

Key technical skills:

• C++ development and GPU programming frameworks
• Parallel programming concepts and GPU architecture
• Linux systems engineering
• Profiling and debugging tools for GPU code

What you’ll be doing:

• Designing and implementing parallel algorithms for GPUs where existing libraries aren’t sufficient
• Building GPU-ready code for vectorisation, parallel execution and large-scale data processing
• Offloading CPU-heavy imaging, simulation or ML workloads onto multi-GPU Linux systems
• Producing benchmarks, validating performance gains and ensuring numerical correctness

Experience with GPU acceleration in gaming or AI development is also relevant.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Interested in working with Meta? If you’re a Content Specialist, get in touch!

• Start Date: ASAP
• Duration: 6 months
• Location: Remote
• Rate: £350 - £500 per day, on a PAYE Model

Project Summary:

The Content Specialist role is a strategic leader responsible for developing and driving overall program strategy for content initiatives across Meta platforms and products. This role requires deep expertise in content strategy, operational excellence, and cross-functional stakeholder management. The ideal candidate should have a proven track record of leading large-scale programs, and the ability to influence and align teams at all levels.

Responsibilities:

• Develop and lead strategies for content initiatives, providing guidance on project intake, design, and development.
• Write and iterate on systems prompts to evaluate and improve large-language model (LLM) outputs for specific product use cases. Requisition Intake Form EMEA
• Oversee and guide the execution of multiple workstreams, ensuring alignment with organizational objectives and program strategy.
• Perform data exploration and analysis to produce actionable insights and reports for engineering, strategy, and product teams.
• Define emergent opportunities and support the team in executing in highly ambiguous areas; nimble support and flexibility is required.
• Design and implement scalable, adaptable processes, workflows, and content templates to support program growth and operational excellence.
• Maintain commitment to accuracy and consistency in content review, including guidelines and AI model evaluation.

The expertise we are looking for:

• 8+ years of relevant experience in content strategy, program management, or related field working with engineering, design, and user research teams.
• 1+ years of advanced experience in AI/ML model content evaluation and advanced prompt engineering.
• Critical thinker with exceptional ability to translate data findings into clear, concise, and compelling reports.
• Ability to dive into and adopt evolving AI tools/solutions to improve overall productivity.
• Strong executive communication and relationship-building skills.
• Experience with social media platforms, content discovery tools, or content strategy and AI development.
• Creative self-starter that can operate independently.
• Proficiency in Google Sheets and conducting data analysis.
• Prompt engineering - System prompting - Model evaluations - LLM - AI analyst - Candidates working in start-ups or freelancers would be at the forefront on this role.

Klaviyo Email Developer

Contract | Remote | Outside IR35 | £350-£425 per day

Role: Klaviyo Email Developer
Location: Fully Remote (UK)
Rate: £350-£425 per day
IR35: Outside

An experienced Klaviyo Email Developer is required to support a specialist CRM consultancy delivering email and SMS life cycle campaigns for marketing agency clients.

Key Responsibilities

• Build responsive HTML/CSS email templates
• Develop automated flows and transactional messaging in Klaviyo
• Create dynamic content using Django or similar frameworks
• Build integrations using JSON and Python
• Conduct QA and inbox rendering testing
• Manage SMS campaigns in Postscript or equivalent platforms

Required Skills

• Strong Klaviyo build experience
• HTML/CSS for email
• Python and JSON integration knowledge
• Deliverability and A/B testing experience
• Experience working across multiple client accounts

Fully remote | Outside IR35 | Immediate start available

Job Description: HPC Expert ( Must have SC Security clearance)

Pay: £450-500 per day PAYE 600-700 Umbrella

Location: Nottingham /Derby

Start date: ASAP

Role Overview

This role provides high-level consultancy and firsthand engineering expertise to modernise High-Performance Computing (HPC) environments with a focus on containerisation of HPC and HPC/ML workloads, cluster optimization, and MPI-aware workflows.

Responsibilities include assessing the existing HPC infrastructure, advising on best-practice for container strategies, and delivering technical recommendations based on real workloads

Key Responsibilities

The ideal candidate will collaborate with the customer to assess existing HPC infrastructure and workloads through various customer workshops and interviews, to identify:

1. HPC Environment Assessment & Optimization

• Conduct rapid reviews of existing HPC infrastructure, including Beowulf clusters, Slurm job schedulers, workflow execution patterns, and key use cases.
• Analyze current HPC/ML workloads and identify performance constraints, containerization opportunities, and runtime optimization options.

1. HPC Containerization Strategy

• Produce a strategy for MPI-optimized container images using tools such as Apptainer/Singularity (SIF), OpenMPI, Podman, and Buildah.
• As part of the report’s findings outline repeatable, secure build pipelines for HPC workloads.
• Identify in the report opportunities to align container platforms with HPC orchestration requirements (batch, interactive, scientific workflows).

1. Technical Workshops, Stakeholder Engagement

• Lead technical discussions, workshops, and training sessions to upskill engineering and research teams on containerization and HPC best practices.
• Produce concise written reports outlining the recommendations and findings, use cases, future strategy, HPC market view along with, next steps, and architectural patterns.

HPC Tools, Runtimes & Ecosystem Integration

• Have a good understanding of Slurm scheduling, MPI job patterns, JupyterHub/JupyterLab for data-science workflows, GPU scheduling tools such as Run:AI, and SDLC practices tailored to research/HPC environments.

Essential Skills & Experience

• Proven background in high-performance computing, including hands-on use of Beowulf-style cluster environments.
• Strong practical knowledge of Slurm job scheduling and MPI job optimization.
• Demonstrated experience with MPI-aware container technologies (Apptainer/SIF, OpenMPI, Podman, Buildah).
• Ability to run structured interviews, technical workshops, and cross-team engineering sessions.
• Experience supporting typical HPC, ML and scientific workloads.
• SC Clearance and UK-only nationality is frequently required for HPC consulting roles within defense/aerospace environments.

Desirable Experience

• Knowledge of CFD software (e.g., OpenFOAM).
• Familiarity with Kubernetes or Singularity as an HPC runtime, GPU slicing, and image lifecycle governance.

Experience contributing written outputs such as market assessments of HPC container technologies.

Call Steve Hill on 01462 670666

IND/LET

Job Title: Principal AI Engineer

Location: UK Remote

Contract: Outside IR35

Duration: 6 months

Why Apply?

This is a high-impact, contract opportunity for a Principal AI Engineer to take the lead on designing and implementing an enterprise-grade AI platform. You will be working on a cutting-edge AI assistant product built on AWS technologies, providing the opportunity to shape architecture, enforce policy-driven development, and introduce best-in-class AI platform practices. This role offers exposure to modern LLM and RAG systems, cloud-native infrastructure, and the chance to influence the technical direction of an innovative AI product.

Responsibilities:

Lead the architecture and implementation of a production-ready AI platform with AWS technologies including Lambda, Bedrock Knowledge Bases, and OpenSearch.

Establish policy-driven development standards, guardrails, and vendor-neutral approaches across AI systems.

Design and implement LLM gateway and multi-component orchestration patterns.

Introduce comprehensive logging, monitoring, and audit trails for AI workloads, including S3-based data tracking.

Define and enforce best practices for state management, prompt injection protection, deterministic vs agentic AI patterns, and execution environments.

Collaborate closely with cross-functional teams to ensure scalable, secure, and maintainable AI solutions integrated into the broader SDLC.

Optimise system performance, latency, and cost efficiency of AI-driven workflows.

Requirements:

Extensive experience as an AI Engineer, AI Architect, or equivalent role.

Strong hands-on experience with AWS services including Lambda, API Gateway, Bedrock, OpenSearch, S3, ECS/Fargate, and Terraform/CDK.

Proven experience with LLM platforms, RAG pipelines, and agentic AI or multi-agent architectures.

Demonstrable track record in implementing AI governance, compliance, and policy-driven development practices.

Skilled in system observability, monitoring, and logging for AI workloads.

Proficient in Python, cloud-native development, CI/CD pipelines, and infrastructure-as-code.

Experience collaborating across product, engineering, and data science teams to deliver scalable AI platforms.

Strong problem-solving, communication, and stakeholder management skills.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

TPBN1_UKTJ

£550/day Inside IR-35

Portsmouth - 3 days per week on site

Initial 4 month contract

We’re looking for a Software Engineer to work within a Space Systems Engineering team, developing custom parallel algorithms and accelerating the processing of large-scale imagery and data on GPU platforms.

Key technical skills:

C++ development and GPU programming frameworks

Parallel programming concepts and GPU architecture

Linux systems engineering

Profiling and debugging tools for GPU code

What you’ll be doing:

Designing and implementing parallel algorithms for GPUs where existing libraries aren’t sufficient

Building GPU-ready code for vectorisation, parallel execution and large-scale data processing

Offloading CPU-heavy imaging, simulation or ML workloads onto multi-GPU Linux systems

Producing benchmarks, validating performance gains and ensuring numerical correctness

Experience with GPU acceleration in gaming or AI development is also relevant.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

TPBN1_UKTJ

Onsite Requirements: Remote
Start Date: ASAP
Role Duration: 1 year
Clerance Requirements: Active SC clearance
Inside IR35 - umbrella only

Role Description:
We’re looking for a Data Engineer whose main focus is understanding and documenting existing systems, with the goal of supporting decommissioning activities. The role centres on analysing current solutions built using Java, Node JS, and React, and developing a clear, end to end picture of how data flows across the wider programme.
This includes documenting data flows, system dependencies, and underlying data models, ensuring there is a clear record of how data is structured, stored, and used throughout the solution. The role involves investigating how systems are used on a day-to-day basis, clarifying ownership and integration points, and capturing this information in a way that supports risk assessment and decommissioning decisions.

Responsibilities:
Python and PySpark are required as supporting capabilities, used where needed to analyse data pipelines and confirm how data moves and transforms in practice. The role also requires strong experience with testing and data quality management, ensuring that documented data flows and models are accurate and trusted. Experience working in cloud environments such as AWS or Azure is expected, with Databricks considered a nice to have.
Required Skills:

• Java background
• Node JS
• Json
• RDS
• React
• Data Modelling
• Python / Spark
• Cloud experience (AWS / Azure) o AWS Glue o Databricks
• Testing e.g. PyTest
• Data Quality e.g. Great Expectations

Location: Remote with Adhoc travel to site (London or Birmingham)

Contract Length: 6 Months
Working Pattern: Full Time, via an Umbrella Company

Are you ready to embark on an exciting journey to shape the future of AI? Our client is on the lookout for a talented AI Engineer to engineer enterprise-grade Generative AI agents. If you have a passion for innovation and a knack for problem-solving, this opportunity is for you!

What We’re Looking For:

• Previous experience supporting the creation of Agentic AI Agents
• Expertise in Generative AI and LLM selection.
• Strong background in decision support and conversational AI.
• Familiarity with engineering prompts and agent patterns.
• Knowledge of cloud standards and privacy governance.
• Experience in monitoring, quality evaluation, and bias mitigation.
• A commitment to explainability and auditability.
• Passion for integrating human-in-the-loop controls.

What You’ll Be Doing:
As an AI Engineer, you will play a pivotal role in creating intelligent automation and conversational experiences by leveraging the power of large language models (LLMs) and orchestration frameworks. Your responsibilities will include:

• Designing Architecture: Define and own the architecture for enterprise-grade Generative AI and agent systems, ensuring alignment with cloud and organizational standards.
• Translating Business Needs: Convert business requirements into agent solutions, selecting the right agent patterns with clear success metrics and risk controls.
• Building GenAI Agents: Develop agents that seamlessly integrate LLMs with retrieval, tools, APIs, and structured reasoning for reliable and safe performance.
• Implementing RAG Solutions: Optimize Retrieval-Augmented Generation solutions, ensuring secure and permission-aware access to enterprise knowledge sources.
• Engineering Safety Measures: Create prompts and policies that enforce Responsible AI principles, focusing on bias mitigation, explainability, and human-in-the-loop controls.
• Ensuring Performance: Maintain the performance and resilience of GenAI systems through optimization and robust fallback strategies.
• Embedding Governance: Design with security, privacy, and governance in mind to support compliance and enterprise risk management.
• Integrating Agents: Collaborate with platform teams to build reusable components and deliver scalable, production-ready AI capabilities.
• Troubleshooting and Innovation: Act as a senior subject matter expert to resolve issues, lead investigations, and drive experimentation with emerging models and tools.
• Influencing Stakeholders: Engage with key stakeholders to articulate trade-offs and strategic decisions effectively.

Why Join Us?
This is a fantastic opportunity to work in a dynamic environment where your skills will be valued, and your contributions will make a real impact. You’ll be part of a forward-thinking team that is committed to pushing the boundaries of AI technology!

Ready to Make a Difference?
If you’re excited about this opportunity and believe you have the skills to excel, we want to hear from you! Apply today and take the next step in your career with us. Let’s innovate together!

We can’t wait to meet 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.

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.

*SC CLEARED*
MS Dynamics and PowerApps Engineer
6 Month contract initially + Extensions
Based: Remote with occasional travel to London
Rate: £market rates p/d - (via Umbrella company)

We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We have a great opportunity for a MS Dynamics and PowerApps Engineer to join the team.

Your responsibilities:
Project overview:
The CRM project aims to introduce a new Customer Relationship Manager (CRM) to replace the current manual processes. We are using Microsoft Dynamics 365 to build the Alpha version for two key business areas. Once the Alpha phase is approved, we will move into the beta phase to develop the production-ready CRM.
The ideal candidate will have good experience of MS Dynamics Data migration and Azure Data Factory and PowerApps development.

Key Skills & Experience:
* Have experience with Dynamics 365
* Have experience with Power Platform and Power Automate
* Have experience with Azure and Azure DevOps

This is an excellent opportunity on a great project of work, If you are looking for your next exciting opportunity, apply now for your CV to reach me directly, we will respond as soon as possible.

Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take up to a minimum 10 weeks. LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds.

Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.

Azure Data Engineer | Outside IR35 | £400 - £450 | 6 months | Hybrid Liverpool You’ll be designing, developing, and managing data pipelines across Azure, primarily using Azure Data Factory to integrate multiple data sources and deliver streamlined workflows into Azure SQL. A strong grasp of Python will be essential as you’ll be transforming, cleansing, and validating complex datasets to ensure they’re accurate, efficient, and ready for analytics and product teams to leverage. This position plays a key role in supporting ongoing modernisation efforts by strengthening the way data is collected, processed, and made available across the business. Responsibilities Build, maintain, and improve scalable ETL/ELT pipelines using Azure Data Factory Model, manage, and optimise datasets within Azure SQL Use Python and Pandas for data preparation, transformation, and quality checks Work closely with engineering, product, and analytics teams to understand data requirements and deliver robust solutions Maintain high standards around data integrity, reliability, and performance Contribute to modernising data tools, workflows, and overall data infrastructureWhat We’re Looking For Strong hands-on experience with Azure Data Factory and cloud-based data orchestration Solid Azure SQL knowledge, including schema design and performance tuning Proficiency in Python, with practical experience using Pandas for data manipulation Comfortable delivering in environments where onboarding is minimal and pace is high Background working with product-led or digitally focused teams is beneficial Able to start immediatelyIf this is a role that suits your skillset, can work onsite 2 days per week and immediately available then please apply for the job advert directly or reach out to myself at (url removed). Azure Data Engineer | Outside IR35 | £400 - £450 | 6 months | Hybrid Liverpool

In short: A high-growth fintech is looking to bring on a Senior AI Engineer to build and ship production-grade scam intelligence that runs before payments clear. You’ll turn multi-source signals (transaction context, counterparty intelligence, behavioural patterns, unstructured evidence) into reliable, explainable risk decisions - under real-world constraints like latency, uptime, and auditability. About the company: The company is building a payment intelligence layer for banks - running real-time “investigations” on payments to provide rich context on the counterparty and situation. The goal: intercept scams while ensuring genuine payments flow smoothly. They’re early-stage, moving fast, and working on problems where correctness, security and reliability are non-negotiable. Who we’re looking for You’re a hands-on ML/AI builder who’s comfortable owning the full loop: data → modelling → deployment → monitoring → iteration. You care about practical decisioning (not just metrics), you’re thoughtful about trade-offs (customer experience vs protection), and you’re excited about building systems that are explainable and bank-grade. What you’ll do

• Build and ship scam risk models and signals (typology classification, risk scoring, decision logic)
• Engineer features across heterogeneous data: transaction context, behavioural sequences, counterparty signals, network/graph patterns, and unstructured evidence
• Design calibrated outputs (scores + reason codes) that are actionable and explainable for banking workflows
• Own evaluation end-to-end: leakage avoidance, cost-sensitive metrics, thresholding, phased rollouts, and post-incident learning
• Productionise ML: packaging, deployment, monitoring, drift detection, and retraining strategies
• Collaborate closely with backend/product teams to integrate intelligence into real-time payment flows
• Work alongside agent/LLM workflows for evidence gathering and synthesis, while keeping the decision core predictable and auditable Must-haves:
• Strong experience shipping applied ML into production (not just experimentation)
• Strong Python + ability to write maintainable, tested code
• Strong SQL + comfort working directly with messy, high-volume data
• Solid modelling judgement: calibration, leakage, bias, thresholding, cost trade-offs, monitoring/drift
• Experience building decisioning systems where reliability, latency, and explainability matter Nice-to-haves:
• Experience in fraud/scams, payments, risk, trust & safety, AML, or adjacent domains
• Familiarity with graph/network features and entity resolution style problems
• Experience with MLOps tooling (model registry/MLflow, feature stores, orchestration)
• Comfort with cloud-native/event-driven systems and working closely with platform/backend engineers
• Experience integrating unstructured signals (text/embeddings/RAG style pipelines) into decision systems Why join
• Work on a mission with real-world impact: stopping scams before money leaves
• Build real-time, bank-grade ML systems with ownership end-to-end
• Early team + high autonomy + meaningful technical decisions

Clearance Required: SC

An opportunity is available for an experienced AI Subject Matter Expert to support the implementation and delivery of Automated Intelligence solutions within secure environments.

You will work across technical and business teams to design, develop and deploy AI enabled automation capabilities that integrate into existing enterprise systems.

The Role

You will support the delivery of AI driven automation initiatives across secure programmes. The position requires strong technical capability combined with stakeholder engagement and risk awareness.

Key Responsibilities

• Design, build and deploy automation solutions integrating AI and machine learning models into existing systems and workflows.
• Analyse business processes with stakeholders to identify automation opportunities and define clear requirements.
• Develop automation scripts and build data pipelines covering ingestion, preprocessing and feature engineering.
• Conduct testing, troubleshooting and performance monitoring to maintain system accuracy and reliability.
• Collaborate with data scientists, software engineers and IT teams to ensure seamless deployment.
• Produce clear technical documentation and performance reporting.
• Support contract discussions, stakeholder engagement and business risk considerations where required.

Technical Skills Required

• Proficiency in programming languages such as Python, Java, C# or R.
• Experience with machine learning frameworks including TensorFlow, PyTorch or Scikit-learn.
• Familiarity with cloud platforms such as AWS, Azure or Google Cloud and associated MLOps practices.
• Experience with automation and orchestration tooling such as UiPath, Airflow or Kubeflow.

Experience and Capability

• Strong experience delivering AI or automation solutions within enterprise environments.
• Ability to work with cross functional teams and translate technical solutions into business value.
• Experience operating within controlled or regulated environments.
• Strong written and verbal communication skills.
• Experience supporting stakeholder engagement and business risk management.

This role suits a technically credible AI professional who can design and implement automation solutions while engaging effectively across secure and regulated programmes.

To apply, please send your CV by pressing the apply button