ai engineer

azure devops engineer

platform engineer

aws cloud architect

cloud engineer

cloud engineer manchester national security west

Hiiya

<div>
 
 Hiiya are hiring
 
 MLOps Engineers in Manchester.
 
 
 
 
 
 
 And this is proper AI work not &ldquo;we bought everyone Copilot and now our website says we&rsquo;re AI-first.&rdquo;
 
 
 
 
 
 The company is a specialist MLOps consultancy working with clients to actually build, deploy and productionise machine learning systems.
 
 
 
 
 
 That means projects involving things like:
 
 
 
 
 <ul>
 <li>
 Self-hosted LLMs and AI agents
 </li>
 <li>
 RAG systems
 </li>
 <li>
 Computer vision
 </li>
 <li>
 Model training and serving
 </li>
 <li>
 Experiment tracking
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 Cloud infrastructure
 </li>
 <li>
 Open-source MLOps tooling
 </li>
 <li>
 Taking interesting prototypes and making them work properly in the real world
 </li>
 </ul>
 
 
 
 
 They&rsquo;ve worked across everything from startups and major organisations through to public sector and secure government environments.
 
 
 
 
 
 I&rsquo;m recruiting at two levels:
 
 
 
 
 
 
 Senior MLOps Engineer | &pound;65k to &pound;80k
 
 
 
 
 
 
 This is primarily a hands-on engineering role.
 
 
 
 
 
 You&rsquo;ll be building production-grade ML systems in Python, deploying them into cloud environments, working with modern DevOps/MLOps tooling and dealing directly with customers.
 
 
 
 
 
 You don&rsquo;t necessarily need &ldquo;MLOps Engineer&rdquo; written on your current job title.
 
 
 
 
 
 You could come from ML Engineering, DevOps, Data Engineering or a similar background, provided you&rsquo;ve actually built and deployed ML software in production.
 
 
 
 
 
 
 Lead MLOps Engineer | &pound;80k to &pound;100k
 
 
 
 
 
 
 Still technical &amp; writing code hands on.
 
 
 
 
 
 But you&rsquo;ll also take more ownership of projects, architecture and engineering standards, mentor other engineers, lead delivery and work directly with clients to figure out what they actually need.
 
 
 
 
 
 So they&rsquo;re looking for somebody who can explain a technical decision to an engineer, a customer and potentially somebody who thinks Kubernetes is a fitness class.
 
 
 
 
 
 The wider environment is very engineering-led, they like open source &amp; they invest time into R&amp;D.
 
 
 
 
 
 They actively encourage engineers to experiment with new tools rather than waiting three years for Gartner to tell them it&rsquo;s safe.
 
 
 
 
 
 And some of the stuff they&rsquo;re building is genuinely interesting.
 
 
 
 
 
 
 Important logistical bit before 400 people message me asking if it&rsquo;s remote:
 
 
 
 📍 Central Manchester
 
 
 🏢 Hybrid - 3 days per week in the office
 
 
 
 
 
 
 The three office days are fixed.
 
 
 
 
 
 
 There&rsquo;s also an important eligibility requirement.
 
 
 
 
 
 Some projects require UK Government
 
 SC security clearance
 
 , so you
 
 must have been continuously resident in the UK for at least the last 5 years
 
 .
 
 
 
 
 
 Unfortunately, that bit isn&rsquo;t negotiable either.
 
 
 
 
 
 If you&rsquo;re an ML Engineer, MLOps Engineer or DevOps-minded engineer who wants to spend more of your time building actual AI systems rather than putting &ldquo;AI enthusiast&rdquo; in your LinkedIn headline, what are you waiting for?
 
</div>

Machine Learning Engineer

Searchability NS&D

<div>
 
 
 New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Manchester.
 
 
 
 
 
 <ul>
 <li>
 Must have active enhanced DV Clearance
 </li>
 <li>
 Junior to Lead levels available
 </li>
 <li>
 &pound;45k to &pound;95k DoE plus 15% clearance bonus
 </li>
 <li>
 Must be willing to be full-time on-site in Manchester
 </li>
 <li>
 Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy
 </li>
 </ul>
 
 
 
 
 
 Who are we?
 
 
 
 We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You&rsquo;ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture.
 
 
 
 
 
 
 What will the Data Scientist be doing?
 
 
 
 Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment.
 
 
 
 
 
 
 Key Skills and Requirements
 
 
 <ul>
 <li>
 Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis.
 </li>
 <li>
 Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes.
 </li>
 <li>
 Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors.
 </li>
 <li>
 Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform.
 </li>
 <li>
 Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools.
 </li>
 </ul>
 
 
 
 
 
 To be Considered:
 
 
 
 Please either apply by clicking online or emailing me directly at henry.clay-davies@searchability.com. For further information please call me on 0161 416 6800 or 07719065951 - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process &amp; submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you.
 
 
 
 
 
 
 KEY SKILLS:
 
 
 
 
 Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning
 
 
</div>

Data Scientist

Oscar

<div>
 
 
 AI Engineer
 
 
 
 
 Location:
 
 Manchester (Hybrid)
 
 
 
 Salary:
 
 &pound;55,000 - &pound;70,000 + benefits
 
 
 
 
 
 
 The Role
 
 
 
 We are working with a fast-growing technology scale-up in Manchester that is investing heavily in its AI capabilities and building out a team focused on the practical application of Generative AI.
 
 
 They are looking for a hands-on
 
 AI Engineer
 
 to help design, build, and deploy production-grade AI solutions, with a particular focus on
 
 agentic AI, LLMs and intelligent automation
 
 .
 
 
 
 
 
 You will work across a variety of projects, developing AI agents, RAG applications, internal tools and intelligent workflows using modern AI technologies. This is a strong opportunity for an engineer who wants genuine ownership and the chance to work with some of the latest developments in AI.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, build, and deploy production-ready AI applications using LLMs
 </li>
 <li>
 Develop
 
 agentic AI systems
 
 , including tool-calling and multi-step agent workflows
 </li>
 <li>
 Build end-to-end
 
 RAG pipelines
 
 , including embeddings, retrieval and vector search
 </li>
 <li>
 Work with frameworks such as LangChain, LangGraph, LlamaIndex or similar
 </li>
 <li>
 Integrate LLMs and AI services into existing products, APIs and business workflows
 </li>
 <li>
 Prototype and test new AI capabilities before taking successful solutions into production
 </li>
 <li>
 Work closely with software, product and data teams to deliver scalable AI solutions
 </li>
 <li>
 Contribute to the wider AI roadmap and identify opportunities to apply emerging AI technologies
 </li>
 <li>
 Evaluate and continuously improve the performance, reliability and cost of AI systems
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 3+ years&rsquo; experience in
 
 AI Engineering, Machine Learning, Software Engineering or a similar role
 
 </li>
 <li>
 Strong
 
 Python
 
 skills and experience building production-quality applications
 </li>
 <li>
 Hands-on experience working with
 
 Generative AI and LLMs
 
 </li>
 <li>
 Practical experience building
 
 AI agents / agentic workflows
 
 </li>
 <li>
 Experience with
 
 RAG, embeddings, vector search and prompt engineering
 
 </li>
 <li>
 Experience using frameworks such as
 
 LangChain, LangGraph, LlamaIndex
 
 or similar
 </li>
 <li>
 Experience integrating model APIs such as OpenAI, Anthropic or open-source models
 </li>
 <li>
 Exposure to cloud environments such as
 
 AWS, Azure or GCP
 
 </li>
 <li>
 Strong software engineering fundamentals, including Git, testing, APIs and deployment
 </li>
 <li>
 A pragmatic, delivery-focused approach to building real-world AI products
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with
 
 multi-agent systems
 
 and agent orchestration
 </li>
 <li>
 Exposure to vector databases such as Pinecone, Weaviate, Qdrant or FAISS
 </li>
 <li>
 Experience with
 
 LLMOps / MLOps
 
 , monitoring and evaluation
 </li>
 <li>
 Familiarity with AI guardrails, evaluation frameworks or model observability
 </li>
 <li>
 Experience deploying AI applications using Docker and CI/CD
 </li>
 <li>
 Exposure to fine-tuning or working with open-source LLMs
 </li>
 <li>
 Previous experience within a high-growth technology or scale-up environment
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s on Offer
 
 
 <ul>
 <li>
 Salary up to
 
 &pound;75,000 depending on experience
 
 </li>
 <li>
 Generous benefits package
 </li>
 <li>
 Opportunity to join a growing technology scale-up investing heavily in AI
 </li>
 <li>
 Significant exposure to
 
 agentic AI and emerging LLM technologies
 
 </li>
 <li>
 High-impact role with genuine ownership over AI products and solutions
 </li>
 <li>
 Collaborative, technically ambitious environment
 </li>
 </ul>
</div>

Generative AI Engineer

Evolve Energy Supply Limited

Senior DeveloperOwn the outcome. Build with confidence. Help others become stronger engineers.SALARY&pound;60k - &pound;70kLOCATIONManchester/Lytham St AnnesWORKING PATTERNHybridThe opportunityEvolve Energy is a rapidly scaling business in an exciting phase of engineering transformation. We are modernising mature platforms, developing new cloud services and increasing the capacity, reliability and speed of delivery needed to support business growth. We are looking for a hands-on Senior Developer who can take ownership of outcomes across complex changes, not simply complete assigned development tasks. You will combine strong software engineering with sound design judgement, operational ownership, business understanding and practical support for the engineers around you.What success looks like Cross-system changes are delivered safely and work well in production. Quality and operational risks are visible. Technical decisions are proportionate and connected to business outcomes. Less experienced engineers grow in confidence and independence.Role purposeOwn the technical delivery and operational outcome of significant changes across services and system boundaries. You will remain hands-on in the code while shaping solutions, coordinating dependencies, managing technical risk and ensuring changes transition successfully into production support. You will work closely with developers, quality engineers, business analysts, product colleagues and business stakeholders. You will challenge requirements constructively, explain technical trade-offs clearly and help the team improve its engineering practice through reviews, pairing, coaching and shared learning.What you will doBuild it well&middot; Establish and reinforce quality expectations within your team, applying TDD, BDD and appropriate automated testing practices&middot; Use testing to improve software design, maintainability and confidence in change, balancing delivery speed with supportability&middot; Design and deliver complex solutions across services and system boundaries within agreed architectural principles and cloud adoption standards&middot; Evaluate and explain trade-offs across performance, security, maintainability, cost, risk and delivery speed&middot; Use code reviews, pairing and clear feedback to improve engineering practice across the team&middot; Use quality, defect, technical debt and operational evidence to prioritise improvements within owned areasDeliver effectively&middot; Take ownership of delivery and operational outcomes, coordinating work across multiple systems or components&middot; Identify technical dependencies, delivery risks and blockers early, then work with the team to maintain momentum&middot; Improve CI/CD pipelines, deployment practices and release confidence within the areas you own&middot; Use trunk-based development, short-lived branches and feature flags to support frequent, low-risk change and controlled rollback&middot; Improve observability through meaningful metrics, logs, traces and alerting, using telemetry to understand service behaviour and customer impact&middot; Drive root-cause analysis after incidents and turn production learning into improvements in design, testing, deployment and supportUse AI responsibly to improve engineering&middot; Use AI-assisted development, testing, analysis and documentation techniques where they improve delivery outcomes&middot; Critically evaluate AI-generated outputs to protect quality, security and maintainability, retaining appropriate human review&middot; Identify practical opportunities for AI to reduce repetitive effort, improve troubleshooting or increase useful test coverage&middot; Share effective usage patterns and lessons learned so the wider team can adopt AI responsibly.Solve the right problems&middot; Understand customer, operational, commercial and financial drivers, and connect technical choices to measurable outcomes&middot; Challenge requirements and assumptions constructively, shaping solutions around business value rather than technical preference&middot; Contribute technical insight to product and prioritisation decisions, identifying opportunities to reduce cost, risk, effort or customer friction&middot; Establish meaningful performance baselines for significant changes and use telemetry to identify bottlenecks, capacity constraints and scaling risks&middot; Design services that are observable, supportable and resilient, with expected business growth considered from the outsetGrow capability&middot; Provide technical leadership within your delivery area, helping the team align around clear and proportionate technical decisions&middot; Coach less experienced engineers through pairing, reviews, actionable feedback and stretch opportunities&middot; Reduce key-person dependency through useful documentation, knowledge transfer and shared ownership across services&middot; Evaluate and trial new technologies, tools and practices where value can be demonstrated, making recommendations based on evidence&middot; Introduce practical automation, tooling and engineering improvements, then help the team sustain successful changesYour technical backgroundWe are more interested in evidence of sound judgement and outcomes than a checklist of technologies. You should nevertheless bring strong, current engineering experience in most of the following areas:&middot; Strong commercial C# and modern .NET experience, with the ability to produce clean, idiomatic and well-tested production code&middot; Hands-on experience designing and delivering services-based or distributed solutions across system boundaries&middot; Microsoft Azure experience, ideally including Azure SQL, Service Bus, Functions, Key Vault, container platforms and monitoring services&middot; CI/CD experience using Azure DevOps or equivalent, including automated build, test and deployment controls&middot; Strong knowledge of TDD, automated testing, secure engineering, observability and operational support&middot; Experience with APIs, event-driven integration, SQL Server and Entity Framework Core&middot; Web development experience using ASP.NET Core and modern HTML, CSS and JavaScript. Blazor experience would be useful&middot; Practical use of AI-assisted engineering tools while maintaining security, quality and human accountabilitySenior-level experience&middot; Evidence of owning outcomes for significant or cross-system changes from refinement through release and production support&middot; Ability to make sound design decisions, document trade-offs and make risks and assumptions clear to engineers and stakeholders&middot; A track record of improving quality, delivery flow, reliability, observability or operational performance within owned areas&middot; Experience coaching developers, with examples of helping others become more capable and independent&middot; Confidence working with product and business colleagues to shape requirements and translate needs into sustainable technical outcomes&middot; A pragmatic approach that protects quality without introducing unnecessary complexity or processHighly desirable&middot; Experience modernising mature or monolithic applications through incremental change&middot; Experience with .NET Aspire, Docker or other container technologies, Bicep or Terraform, and OpenTelemetry or distributed tracing&middot; Knowledge of feature-flag frameworks, progressive delivery and controlled rollback strategies&middot; Experience improving application performance, capacity management or service reliability for business-critical systems&middot; Experience in utilities, CRM platforms or other operationally complex environments&middot; Relevant Microsoft Azure certification, although practical evidence matters more than certification aloneThe person we are looking for&middot; You are a hands-on engineer who takes responsibility for the outcome, not only the implementation&middot; You start with the business or customer need and choose technology proportionately&middot; You communicate clearly, make trade-offs understandable and raise risks early&middot; You use evidence from delivery and production to improve decisions and engineering practice&middot; You enjoy helping other engineers grow and willingly share knowledge rather than becoming a single point of dependency&middot; You combine ambition with pragmatism, raising standards without creating unnecessary complexityWhy join Evolve Energy? You will have meaningful ownership of important technical outcomes and the opportunity to influence how we design, build and operate software during a significant period of change. This is a genuinely hands-on senior role with scope to improve platforms, engineering practice and the capability of the team around you.How to applyPlease share your CV together with a short summary of a technical change, engineering improvement or mentoring outcome that best demonstrates how you took ownership beyond the code itself.NO AGENCIES PLEASE.Pay: &pound;60,000.00-&pound;70,000.00 per yearBenefits:<ul><li>Company events</li><li>Company pension</li><li>Cycle to work scheme</li><li>Flexitime</li><li>Paid volunteer time</li><li>Private medical insurance</li></ul>Application question(s):<ul><li>Reliably commute to the Manchester office with occasional business-critical travel to Lytham.</li></ul>Work authorisation:<ul><li>United Kingdom (required)</li></ul>Work Location: Hybrid remote in Manchester M2

Senior Developer

CreateFuture

<div>CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work side by side with our clients, challenging what's not working and helping them to build the future. 
 
We work alongside organisations such as PayPal, adidas, NatWest, FanDuel, and Money Saving Expert, building digital products and services that make a difference while always putting people first. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years. 
 
About the role and team 
We are seeking an experienced, hands-on Technical Lead with a strong background in .NET, AWS, event-driven architecture, and continuous delivery to join a team delivering and modernising a broad range of business-critical applications and services. This is very much a lead engineer role: you'll spend the majority of your time writing code, setting technical direction by example, and working closely with engineering teams and client stakeholders. 
 
The successful candidate will work across a broad technology landscape including .NET, Next,js and AWS. You will play a key role in building scalable, event-driven, cloud-native solutions, improving existing systems, and setting the technical bar for delivery. 
 
This role requires someone comfortable operating within challenging technical environments, able to work closely with engineering teams and stakeholders to simplify, improve, and evolve existing services. Strong communication and stakeholder management skills are essential, as many existing platforms and services have significant operational and organisational investment behind them. 
 
Key Responsibilities
<ul>
<li>Act as a hands-on Tech Lead, writing production code as the majority of your day-to-day activity while setting technical direction for the team.
</li>
<li>Design, develop, and maintain applications and services using .NET technologies and AWS cloud platforms.
</li>
<li>Work hands-on across a broad technology landscape including .NET, Next.js and AWS
</li>
<li>Drive continuous delivery practices, improving build, test, and release pipelines to enable frequent, low-risk deployments.
</li>
<li>Identify opportunities to simplify, rationalise, and improve existing systems and services.
</li>
<li>Design and implement Infrastructure as Code solutions using Terraform.
</li>
<li>Support cloud-native engineering practices and platform improvements across AWS environments.
</li>
<li>Contribute to frontend application development using Next.js or similar modern JavaScript frameworks.
</li>
<li>Engage directly and confidently with business stakeholders, translating technical trade-offs into terms that support good decision-making.
</li>
<li>Promote best practices in software engineering, maintainability, scalability, and operational excellence.
</li>
<li>Support teams through technical challenges and modernisation initiatives.
</li>
</ul><div>Required Experience</div>
<ul><li>Strong, hands-on experience as a Tech Lead or Lead Engineer working within .NET environments.</li>
<li>Good experience across both modern .NET and legacy .NET Framework applications.</li>
<li>Strong experience with AWS cloud technologies.</li>
<li>Strong experience designing and implementing event-driven architecture.</li>
<li>Strong experience with continuous delivery, including CI/CD pipeline design and delivery automation.</li>
<li>Experience implementing Infrastructure as Code using Terraform.</li>
<li>Experience working within complex or evolving technical environments.</li>
<li>Frontend development experience using Next.js or similar JavaScript frameworks.</li>
<li>Strong communication and stakeholder management skills, with confidence engaging directly with business stakeholders.</li>
<li>Comfortable working hands-on within challenging technical environments, spending the majority of time writing code rather than managing people.</li>
<li>Ability to work collaboratively across engineering and business teams.</li>
</ul><div>Nice to Have</div>
<ul><li>Experience modernising legacy enterprise applications and services.</li>
<li>Exposure to WCF, WPF, and broader legacy Microsoft technology stacks.</li>
<li>Experience supporting platform consolidation or transformation initiatives.</li>
<li>Familiarity with AI-assisted development tooling and harness engineering concepts. 
 
Note: this role requires onsite time in the office in Manchester 2-3 days per week.</li>
</ul><div><h3 class="jobSectionHeader">What we'll offer you:</h3>

We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. 
 
We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed.

We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.
<h3 class="jobSectionHeader">
Our hiring process</h3>

We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process.

It usually looks like this:
<ul>
<li>Call with our Talent Acquisition Team</li>
<li>Role specific capability interview</li>
</ul>
Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens.
<h3 class="jobSectionHeader">
Inclusion at CreateFuture</h3>

We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work.

If you need any adjustments or support during the application process, just. We will do what we can to help.

We look forward to your application!</div></div>

Technical Lead (.NET/AWS) - Manchester

GMCA

<div><div><div>Contract: 12-month Fixed term with the possibility of extension.
Please note the salary is subject to Job Evaluation.
Help transform how Greater Manchester supports its most vulnerable residents. 
 
<h2 class="jobSectionHeader">The Opportunity:</h2>
Greater Manchester is leading a pioneering approach to prevention through the implementation of SAVVI (Scalable Approach to Vulnerability via Interoperability) and Open Referral UK data standards, creating the foundations for more connected, proactive and person-centred public services.
To help deliver this ambition, we are establishing a new SAVVI Office: a specialist team bringing together governance, data and transformation expertise to help partners identify need earlier, share information responsibly and coordinate support more effectively.
This work sits at the heart of Greater Manchester's commitment to public service reform, prevention and early intervention. Through the SAVVI Office, we will help local authorities, public services and community organisations work together around the people and places that need support most.<h2 class="jobSectionHeader">
The Team:</h2>
We are recruiting three complementary leadership roles that together will form Greater Manchester's SAVVI Centre of Excellence.<h3 class="jobSectionHeader">
Senior Information &amp; Data Governance Lead
</h3>Lead the governance and assurance that enables partners to share information safely, ethically and lawfully. You'll help shape regional approaches to information sharing, privacy, transparency and public trust while supporting prevention-focused initiatives across Greater Manchester.<h3 class="jobSectionHeader">
Technical Data Lead
</h3>Provide the technical leadership to design data standards, interoperability approaches and architectures that help organisations connect systems and information. You'll create the foundations that enable vulnerability to be identified earlier and support to be coordinated more effectively.<h3 class="jobSectionHeader">
Transformation Coach
</h3>Drive adoption and change across organisations, helping teams embed new ways of working, develop capability and turn innovation into practical outcomes. You'll work alongside leaders and frontline services to make prevention a reality.<h2 class="jobSectionHeader">
Why This Matters:
</h2>Together, these roles will help establish sustainable regional capability that supports:<ul><li>
Prevention and early intervention rather than crisis response.</li><li>
Safe, ethical and trusted information sharing.</li><li>
Better joined-up support for vulnerable residents.</li><li>
Consistent adoption of SAVVI and Open Referral UK standards.</li><li>
Scalable solutions that can be shared across Greater Manchester and beyond.</li><li>
Improved outcomes through stronger collaboration between organisations.</li></ul><h2 class="jobSectionHeader">
Your Role:
</h2>The Transformation Coach role will report into the Information and Data Governance (IDG) Change Programme Manager and will benefit from close collaboration between the IDG and Digital directorates.
You will coach leaders, teams and partners to embrace new ways of working, build capability, and embed the principles of SAVVI into organisational culture, processes and decision-making. You will work closely with local authorities, GMCA, TfGM, digital, data, legal, information security, service delivery and national SAVVI/iStandUK partners.
This is a unique opportunity to drive meaningful change by helping services work together more effectively, ensuring vulnerability is identified, understood and responded to through better information sharing, collaboration and citizen-centred design.<h2 class="jobSectionHeader"> 
About you:
</h2>Working across complex systems, you will facilitate workshops, support service redesign, influence stakeholders, and champion a data-informed approach that improves outcomes for residents experiencing vulnerability. You will bring strong coaching, engagement and change management skills, alongside a passion for innovation, collaboration and public service reform. Whilst existing knowledge of SAVVI is desirable, it is not essential for this role as full training will be provided.
If you thrive in complex environments, enjoy building relationships across organisations, and are motivated by making a real difference to people's lives, we'd love to hear from you.
Join us and help create a more connected, proactive and compassionate public service system for Greater Manchester.</div></div><div><div>
Mandatory Information:
Artificial Intelligence (AI)
We embrace AI to enhance our operations and to innovate our services. However, we value human talent and are looking for passionate individuals to join our organisation. Please ensure you personally complete your application and read all the instructions carefully to maximise your chances of success.
Applications that rely too heavily on AI may be rejected during shortlisting, however we understand that AI may be used as a reasonable adjustment, if using AI to support your application, please give a brief explanation why to help ensure fair selection process.
Privacy Notice (Click here)
Employees on the redeployment register will be given priority for any vacancies in the first instance. If employees are identified as a match from the register then the vacancy may be withdrawn or put on hold pending an outcome.
For this opportunity, you must be able to prove you have the right to work in the UK - if in doubt please visit the following link Employers' right to work checklist - GOV.UK (www.gov.uk). Please note we are not a licenced sponsor. 
Hybrid working
This role is part of GMCA&rsquo;s hybrid working scheme. As part of our commitment to &lsquo;Build Back Fairer&rsquo; in Greater Manchester following the Covid-19 pandemic, we have evolved our management methods by trusting and empowering staff to deliver their work in the best way that suits the business and their individual needs, and supports health and wellbeing. Our hybrid working policy sets out a flexible approach, combining attendance at our Manchester city centre office, allocated GM Local Authority office(s), or on site in the community, with remote working, typically from home (within a reasonable commutable distance from Greater Manchester); the location of work is primarily dictated by the needs of the business: &lsquo;Do what is right for you and the business on that day&rsquo;. If appointed to the role you will work with your manager to agree and regularly review the best working pattern for you, your team and your work.</div></div></div>

Transformation Coach – SAVVI

RedCompass Labs

<div>
 
 
 AI Engineer
 
 
 
 Manchester, hybrid (60% office presence per year after onboarding period)
 
 
 
 
 
 
 About RedCompass Labs:
 
 
 
 RedCompass Labs are payments experts focused exclusively on payments modernization. Over the last 23 years, RedCompass Labs has delivered 500+ projects across the world&rsquo;s major payments schemes and platforms, including ISO 20022, SEPA, Swift, the Real-time Payments Network, and FedNow, ISO 20022 migrations, and FIS OPF, Finastra GPP, and ACI Worldwide.
 
 
 Its flagship Payments Expert Agent is an AI solution purpose-built for the full payments modernization software development lifecycle. Trained on decades of deep payments expertise and more than 30,000 curated documents, the agent is certified to SOC 2 Type II.
 
 
 RedCompass Labs supports clients from offices in London, Warsaw, Brussels, Miami, Boston, Toronto, and Pune. For more information, visit www.redcompasslabs.com.
 
 
 
 
 
 
 Mission:
 
 
 
 Imagine reducing a 14-day financial analysis task to just 2 hours. At RedCompass Labs, we don't just imagine-we've built it.
 
 
 We're transforming the trillion-dollar payments industry through intelligent automation. At the heart of our mission is AnalystAccelerator.ai, our proprietary multi-agent AI platform built to accelerate complex analysis in global banking and compliance.
 
 
 We&rsquo;re seeking exceptional AI Engineers to join our foundational AI Engineering team. Your role: transform cutting-edge research and prototypes into robust, production-ready AI solutions. You'll tackle sophisticated challenges within a regulated, high-stakes environment, developing scalable AI that augments human expertise.
 
 
 
 
 
 
 As an AI Engineer, you would:
 
 
 
 You will take proven concepts from research and turn them into production-grade, client-facing AI solutions:
 
 <ul>
 <li>
 
 Design, build, and scale
 
 sophisticated multi-agent workflows that automate complex financial analysis.
 </li>
 <li>
 
 Engineer robust Retrieval-Augmented Generation (RAG)
 
 pipelines leveraging financial rulebooks, regulatory documentation, and client knowledge bases.
 </li>
 <li>
 
 Develop secure, scalable backend services and APIs
 
 (primarily Python/FastAPI) deployed in Azure cloud environments.
 </li>
 <li>
 
 Implement and enhance MLOps and DevOps practices
 
 , using GitHub Actions, Azure DevOps pipelines, Docker containers, and Kubernetes orchestration.
 </li>
 <li>
 
 Collaborate closely
 
 with product managers, domain experts, and UX designers, converting complex business requirements into clear, impactful features.
 </li>
 </ul>
 
 
 
 
 
 Candidate Profile
 
 :
 
 
 We&rsquo;re seeking product-centric engineers who thrive on complex challenges, rapidly acquiring new technical skills, and delivering impactful
 
 AI solutions
 
 .
 
 <ul>
 <li>
 
 4+ years
 
 of professional software engineering experience, with proven expertise developing and deploying production-grade systems.
 </li>
 <li>
 Experience
 
 in modern AI
 
 , agentic software development, and use of
 
 LLMs
 
 .
 </li>
 <li>
 Strong proficiency in either
 
 Python/Typescript
 
 .
 </li>
 <li>
 Understanding in embedding models,
 
 retrieval-based AI architectures (RAG)
 
 , and vector databases.
 </li>
 <li>
 Familiarity with cloud-native software development, containerization and orchestration technologies.
 </li>
 <li>
 Commitment to learning and leveraging new technologies and AI tools rapidly and effectively.
 </li>
 <li>
 A &lsquo;t-shaped&rsquo; engineering mindset, and a willingness to stretch into tasks such as automation testing, devops, data engineering when the work needs it.
 </li>
 </ul>
 
 
 
 
 
 Bonus Qualifications:
 
 
 <ul>
 <li>
 Previous experience with multi-agent systems or complex workflow automation.
 </li>
 <li>
 Background in fintech, banking, payments, or compliance industries.
 </li>
 <li>
 Experience with high-performance API frameworks (FastAPI).
 </li>
 </ul>
 
 
 
 
 
 Our Technology Ecosystem:
 
 
 <ul>
 <li>
 
 Core AI &amp; LLMs: Python, LLM frameworks
 
 such as
 
 Autogen
 
 ,
 
 LangChain
 
 ,
 
 Pydantic-AI
 
 , etc.
 </li>
 <li>
 
 Retrieval-Augmented Generation (RAG) systems
 
 and
 
 MCP servers.
 
 </li>
 <li>
 
 Backend &amp; API Layer:
 
 FastAPI, RESTful APIs, Azure Cloud, NoSQL databases, Azure AI
 
 .
 
 </li>
 <li>
 
 Front-end
 
 :
 
 
 TypeScript and React
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Work on
 
 high
 
 ‑
 
 impact financial technology projects
 
 that shape the future of payments and AI‑driven innovation
 </li>
 <li>
 Join a
 
 trust
 
 ‑
 
 based, transparent, and collaborative culture
 
 where your voice matters and ideas influence outcomes
 </li>
 <li>
 Enjoy
 
 real ownership and autonomy
 
 in how you approach challenges, deliver work, and grow your expertise
 </li>
 <li>
 Be part of a
 
 diverse and inclusive global team
 
 across Canada, the UK, Europe, and Asia, where fairness and meritocracy guide every decision
 </li>
 <li>
 Collaborate daily with
 
 senior industry experts and leaders
 
 , accelerating your professional development
 </li>
 <li>
 Experience a
 
 human, respectful, and well
 
 ‑
 
 structured recruitment and onboarding journey
 
 designed around clarity and mutual fit
 </li>
 <li>
 Grow through
 
 continuous learning
 
 , cross‑functional work, and exposure to both consulting and product‑building environments
 </li>
 <li>
 Join a company that values
 
 integrity, curiosity, and continuous improvement
 
 , and empowers you to make meaningful impact from day one.
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 <ul>
 <li>
 Up to 10% of annual earnings as a personal performance bonus
 </li>
 <li>
 Life insurance
 </li>
 <li>
 Group Income Protection
 </li>
 <li>
 Health Insurance for you and your family
 </li>
 <li>
 Dental Insurance for you and your family
 </li>
 <li>
 Pension: the pension is currently 4% employer and 4% employee. You also have the option to increase your contributions to your private pension, if you wish.
 </li>
 <li>
 28 days annual holiday plus Public &amp; Bank holidays
 </li>
 </ul>
 
 
 
 
 
 RedCompass Labs is committed to promoting and supporting a diverse and inclusive workplace, ensuring fair and equitable treatment for all. This fuels innovation and enables us to work better together with each other and for our clients.
 
 
</div>

Artificial Intelligence Engineer

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