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We are working with a well-established, global software business to find a talented Front End Software Engineer for a fully UK remote, permanent position. This is a genuine opportunity to join a small, highly capable engineering team (but part of a wider, 500 strong staff company) building a platform used by some of the world's largest enterprises, with the autonomy to make a real impact and the support of a broader organisation behind you. Location: fully remote, UK. Salary: £80,000 to £85,000 basic plus 10% bonus and benefits package. Working arrangement: fully remote. Contract type: permanent. What you'll be doing • Building and maintaining product features as part of a cross-functional engineering team, working to a planned roadmap in the core engineering team (Typescript / React) for this product, • Acting as the primary engineering contact during Australian off-hours, providing first-line engineering coverage within standard UK working hours., • Investigating production issues using logs, metrics and monitoring tools, performing incident triage, remediation and clear handover documentation., • Working with Kubernetes-based workloads on AWS, diagnosing deployment, scaling and runtime issues across SQS and SES services., • Collaborating daily with the Australian team on handovers, sprint planning, technical alignment and ongoing knowledge transfer., • Contributing to post-incident reviews and long-term reliability improvements. What you need to bring • Strong front end engineering experience with React, TypeScript and modern JavaScript., • Practical, hands-on experience with AWS production systems, including SQS for message processing and SES for transactional email delivery., • Experience running workloads on Kubernetes and Amazon EKS, including debugging pod, container and networking issues., • Solid observability and diagnostics skills, including log aggregation, metrics analysis and root cause investigation in distributed systems., • Familiarity with production support workflows: incident triage, escalation, handover documentation and post-incident reviews., • Excellent written communication skills, with confidence working independently across time zones., • Comfort balancing feature delivery with live system support and working across both legacy codebases and greenfield development. Why you'll love this job • Work on a platform that powers billions of mission-critical customer conversations for major global enterprises., • Join a small, technically strong team where your contributions are visible and your work genuinely matters., • Enjoy a role that combines deep technical challenge with meaningful product ownership, across both feature development and production systems., • Be part of a collaborative, globally distributed engineering culture with strong values around openness, accountability and continuous improvement., • Competitive package: £80,000 to £85,000 basic salary, 10% bonus, and a benefits package including health insurance, pension, gym membership, life assurance and 25 days holiday plus your birthday off. If this sounds like the right move for you, we'd love to hear from you. Apply now with your CV and one of our team will be in touch to discuss the role in more detail

🚀 Senior Data Engineer 📍 Manchester, UK (Hybrid – 2 days per week onsite, Tuesdays & Thursdays) 💷 £70,000 – £80,000 + up to 10% bonus Are you a technically strong Senior Data Engineer who enjoys solving complex data challenges and working directly with clients to deliver real business impact? We’re looking for a commercially minded engineer to join a growing team in Manchester. This is an exciting opportunity to design, build and maintain scalable data platforms and pipelines that power analytics and AI-driven decision-making for leading UK organisations. This role is ideal for someone who thrives at the intersection of hands-on engineering, consulting, and stakeholder engagement, with a clear pathway into people leadership. What you’ll be doing: • Design, build and maintain robust, scalable data pipelines using Python and modern data engineering tools, • Translate complex business and data challenges into practical engineering solutions, • Lead technical scoping and delivery from requirements gathering through to deployment and support, • Build and maintain data models, transformation layers and orchestration frameworks, • Work closely with clients, presenting technical solutions in a clear and accessible way, • Champion data quality, governance and engineering best practices, • Mentor junior engineers and help shape a culture of technical excellence, • Collaborate with Cloud, MLOps and Analytics teams to deliver end-to-end solutions, • Support proposals, demos and client relationship development where needed What we’re looking for: • 5+ years’ experience in Data Engineering or a similar technical discipline, • Strong Python skills with production-level engineering experience, • Experience with tools/frameworks such as pandas, Polars, DBT, • Strong understanding of data warehousing, dimensional modelling and medallion architecture, • Hands-on experience with cloud platforms: AWS, Azure or GCP, • Experience with orchestration tools such as Airflow, Prefect or Dagster, • Strong SQL skills and experience with modern warehouse/lakehouse architectures, • Familiarity with Git, CI/CD and infrastructure-as-code practices, • Excellent communication and stakeholder management skills, • Experience in a client-facing or consulting environment (or strong desire to develop this), • Ambition to move into team leadership / people management Nice to have: • Experience with PySpark / Databricks, • Experience with streaming technologies like Kafka or AWS Kinesis, • Knowledge of data governance and quality frameworks

Cloud Application Security Engineer Central Manchester (3 days a week in-office) Up to £90,000 + Generous Benefits We’re currently supporting an exciting SaaS fintech that’s looking to bring on a Cloud Application Security Engineer to strengthen their growing team. This is a fantastic opportunity to work at the intersection of cloud, application security, and modern platform engineering, helping to design and secure scalable, multi-tenant systems in a fast-paced, high-growth environment. What you’ll be working with: • Cloud platforms (AWS, Azure, and/or GCP), • Application security across the full SDLC, • Designing and securing multi-tenant architectures, • AI/ML infrastructure and emerging security challenges, • Infrastructure as Code (IaC) with embedded security controls What we’re looking for: • Strong background in cloud architecture or security engineering with solid experience in application security within SaaS environments, • Deep understanding of application security principles - beyond just the basics, with the ability to think in terms of data flows, trust boundaries, and real-world attack paths, • Experience designing multi-tenant systems where security is a core architectural consideration, including tenant isolation at both application and data layers, • Hands-on experience with AWS, Azure or GCP, • Understanding to AI/ML platforms and infrastructure (e.g. model pipelines, serving layers, vector databases, LLM integrations), • Strong knowledge of authentication and authorization patterns (OAuth2, OIDC, SAML, JWT, RBAC/ABAC) and how to implement them at scale, • Experience integrating security into CI/CD pipelines (SAST, DAST, SCA, container scanning), • Experience with Infrastructure as Code (e.g. Terraform, Pulumi) and applying security policy as code The company are very big on training and development and are considering candidates without all the required skills. You’ll play a key role in driving secure-by-design principles, working closely with engineering teams to embed security into architecture, development, and deployment. Apply now to be considered - Alternatively follow ReVybe IT Recruitment for similar jobs.

Senior GCP Platform Engineer Salary: Up to £95,000 + Bonus + BenefitsLocation: Bristol, Leeds, Halifax, Manchester or Edinburgh - Hybrid (2 days per week onsite)Working Hours: 40 hours per week - Full timeJob Type: PermanentA globally established organisation is seeking an experienced Senior GCP Platform Engineer to help build and evolve enterprise-scale Google Cloud infrastructure and DevOps capabilities. This Senior GCP Platform Engineer role will focus on delivering scalable cloud products, modern infrastructure-as-code solutions and secure platform engineering practices across a large-scale cloud transformation environment. Responsibilities for the Senior GCP Platform Engineer: • Design, build and support scalable Google Cloud infrastructure and platform solutions, • Develop reusable Infrastructure as Code (IaC) solutions using Terraform and Terraform Cloud, • Curate and manage enterprise-grade GCP cloud products and services, • Build automation workflows and tooling using Python scripting, • Support and optimise GKE, Kubernetes and Istio Service Mesh environments, • Audit and improve existing Terraform modules and state management, • Implement secure, policy-driven infrastructure using Sentinel / OPA, • Support CI/CD integration and deployment automation across cloud platforms, • Enforce governance, compliance and security controls across GCP environments, • Collaborate with engineering teams to improve cloud adoption and operational efficiency Essential Skills for the Senior GCP Platform Engineer: • Strong experience across GCP Cloud Engineering and DevOps, • Strong hands-on experience with Terraform / Terraform Cloud, • Experience with Python scripting and automation, • Experience with GKE, Kubernetes and Istio Service Mesh, • Experience with CI/CD tooling including; Jenkins, Harness & GitHub, • Experience implementing Policy as Code using Sentinel or OPA, • Strong understanding of secure cloud governance and GCP organisational policies, • GCP and Terraform certifications highly beneficial Desirable Skills for the Senior GCP Platform Engineer: • Experience acting as a GCP Cloud SME, • Experience guiding cloud architecture and platform strategy, • Exposure to cloud engineering platforms such as Backstage, • Experience within large-scale enterprise cloud transformation programmes If you are an experienced Senior GCP Platform Engineer looking to shape modern cloud infrastructure and enterprise DevOps capabilities, this role offers strong technical ownership and exposure to large-scale cloud engineering initiatives.

£40,000 to 73,000 GBP Bonus Hybrid WORKING Location: Manchester, North West - United Kingdom Type: Permanent GCP CloudOps Engineer £40,000 - £73,000 + Bonus Manchester | Hybrid Hiring across multiple levels (mid, senior & lead) We're hiring CloudOps engineers to help run and improve large-scale Google Cloud environments used by enterprise customers. This is a hands-on operations and engineering role focused on reliability, automation, supportability, and continuous improvement across cloud platforms. You'll work closely with infrastructure, platform, and development teams to keep systems stable, secure, and scalable. We're open to different levels of experience, so whether you're already leading cloud operations or you're looking to step into a more senior role, we'd like to hear from you. What you'll be doing • Managing day-to-day operations across GCP environments, • Monitoring cloud platforms and responding to incidents, alerts, and service issues, • Troubleshooting infrastructure, networking, and application-related problems, • Improving platform reliability through automation and operational improvements, • Writing scripts and tooling to remove manual processes and improve efficiency, • Supporting CI/CD pipelines and deployment processes, • Working with developers and engineering teams to improve platform performance, • Managing IAM, security controls, and cloud governance standards, • Producing operational documentation, runbooks, and technical guides, • Supporting production environments as part of an on-call rotaSenior and lead engineers will also help mentor other team members, review technical approaches, and drive operational best practices across the wider platform team. Tech stack / experience We're looking for people with experience in some of the following: • Google Cloud Platform (GCP), • Compute Engine, GKE, Cloud Run, networking, IAM, logging/monitoring, • Infrastructure support within cloud or platform environments, • Terraform or infrastructure-as-code tooling, • Python, Bash, or similar scripting languages, • CI/CD pipelines and DevOps tooling, • Kubernetes or containerised workloads, • Monitoring and observability tooling, • Linux administration, • Incident management and root cause analysis

HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving. Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040. To learn more about how we can supercharge progress for you, visit www.hcltech.com Job Title- Infrastructure Engineer Location- Edinburgh, Leeds, Halifax, Manchester or Bristol Hybrid mode- 2 days week (Work from client location) Infrastructure Engineer role focused on secure web access and SASE engineering. The role is responsible for the end-to-end design, build, deployment, and lifecycle management of technologies that enable secure web access for both users and machine-based traffic. This includes SASE platforms, secure enterprise browser solutions, and controls governing human and machine to machine access. The role requires strong hands‑on engineering capability and experience with automation and code‑driven delivery. Role Overview The role is responsible for the engineering, configuration, deployment, and lifecycle management of technologies enabling secure colleague and machine web access. This includes involvement across SASE components, secure enterprise browsing solutions, and controls supporting both human and machine‑to‑machine traffic. As the organisation moves from ClickOps to DevOps, the role requires strong hands‑on engineering capability and experience with automation and code‑driven delivery. Key Responsibilities Technical Delivery & Engineering Excellence • Contribute hands‑on DevOps engineering expertise using Infrastructure as Code, Policy as Code, CI/CD, API‑driven automation, automated testing, and observability., • Build, enhance, and maintain web access protection infrastructure, including proxy services, protected corporate browsers, and web/API traffic controls., • Evolve infrastructure and security patterns for internet connectivity, B2B integrations, and browser/policy control., • Support product and platform teams with technical input across design, architecture, and roadmap evolution., • Conduct root cause analysis and support incident remediation in collaboration with security and platform teams. Operational Delivery • Implement policy‑as‑code and configuration‑as‑code approaches to remove reliance on manual portal‑based administration., • Support the monitoring, stability, and continual improvement of SASE services, secure enterprise browser technologies, and machine‑traffic infrastructure., • Support incident, change, and problem management activities for web access protection services., • Ensure services meet resilience, documentation, compliance, and audit requirements., • Collaborate with internal teams and external vendors to ensure high‑quality service delivery. Risk, Security & Compliance • Implement and maintain security and access policies for web traffic aligned to enterprise risk frameworks., • Integrate with SIEM and analytics platforms to support threat detection and response., • Balance security controls with usability, particularly in the browser and colleague web‑access journey., • Participate in security reviews, risk assessments, and updates to relevant policies. Required Experience • Strong hands‑on modern engineering experience, including CI/CD tooling (e.g., GitHub), Terraform, Python, infrastructure/policy/config‑as‑code., • Experience working with SASE platforms (e.g., Zscaler, Palo Alto, Blue Coat, McAfee Web Gateway/SkyHigh) and secure enterprise browsers (e.g., Chrome Enterprise, Island, Talon, Edge for Business)., • Knowledge of security controls, DLP, browser isolation, and SASE patterns., • Experience contributing to incident resolution and change processes., • Strong communication and collaboration skills to work across technical and product teams. Desirable Experience • Experience in regulated environments., • Relevant security certifications (e.g., CISSP, CCSP).

£45000-60000 GBP Bonus Hybrid WORKING Location: Manchester, North West - United Kingdom Type: Permanent DevOps Engineer (Defence) UK Wide - London, Manchester, Leeds, Gloucester (Hybrid) £45,000 - £60,000 + package Working with a leading cyber and defence organisation delivering secure, cloud-native platforms across national security and government environments. They're looking for DevOps Engineers to build, automate and scale critical infrastructure supporting high-impact programmes. The Role You'll be responsible for engineering and automating cloud infrastructure, enabling fast, secure and reliable delivery across complex environments. Key responsibilities: • Design, build and manage cloud infrastructure across Azure or GCP, • Implement and maintain Infrastructure as Code (IaC) using tools like Terraform or CloudFormation, • Build and optimise CI/CD pipelines for continuous delivery, • Support containerised environments (Docker, Kubernetes), • Develop automation scripts (Python, Bash, Shell), • Work within cross-functional DevOps / SRE teams to improve system reliability and scalability, • Apply DevOps best practices across monitoring, logging and deployment What they're looking for, • 2+ years experience in DevOps / Platform Engineering, • Hands-on with: Azure or GCP, Terraform (or similar IaC tools) and CI/CD tooling, • Experience with containerisation (Docker, Kubernetes), • Scripting experience (Python, Bash or similar), • Solid understanding of Linux, networking and cloud architecture, • Experience working in Agile environments, • Experience with configuration management tools (Ansible, Puppet, Chef) Package, • £45,000 - £60,000 base, • Bonus + strong benefits package, • Hybrid working across multiple UK locations Get in touch with Connor Smyth at Anson McCade to hear more.

Senior / Mid-Level MLOps Engineer Manchester (Hybrid) £45,000 - £80,000 + Bonus A fast-growing AI & Machine Learning consultancy is looking to hire multiple MLOps Engineers as they scale their technical team following continued growth across major public sector and enterprise projects. This is an opportunity to join a highly technical engineering environment focused on building real-world production ML applications, not proof-of-concepts or internal experimentation. You’ll work alongside a team of experienced ML Engineers, Software Engineers and Technical Leads delivering scalable AI systems for customers operating in complex, high-impact environments. What you’ll be doing: • Building and deploying production-grade ML systems, • Working across cloud infrastructure, automation and model serving, • Designing scalable MLOps pipelines and infrastructure, • Collaborating closely with engineers, data scientists and clients, • Contributing to architecture decisions and engineering best practices, • Supporting the deployment and monitoring of ML applications in production Tech environment includes: • Python, • AWS / Azure / GCP, • Kubernetes & Docker, • FastAPI, • Infrastructure as Code, • CI/CD pipelines, • ML frameworks such as PyTorch / TensorFlow What they’re looking for: • Strong Python engineering experience, • Experience deploying ML models into production, • Cloud and containerisation experience, • Excellent communication skills, • Someone who enjoys solving complex technical problems collaboratively, • Consultancy mindset / comfortable working across multiple projects Nice to have: • Experience in MLOps or ML platforms, • Experience in consultancy environments, • Exposure to public sector or regulated environments, • Strong academic background (Master's / PhD beneficial) What’s on offer: • High-performing, deeply technical engineering culture, • Opportunity to work on genuinely impactful AI projects, • Clear progression opportunities as the company scales, • EMI share scheme with strong long-term upside, • Hybrid working (Manchester office), • Collaborative, low-ego team environment If you’re interested in hearing more, apply directly or reach out for a confidential conversation.

Our client, a well-established global software solutions company, is seeking a DevOps Engineer to help design, build, and operate reliable, scalable platforms that support the safe and efficient delivery of software. You will work closely with development and operations teams to automate build and deployment processes, enhance system reliability, and strengthen cloud-native capabilities. This role emphasises practical delivery, operational ownership, and continuous improvement. Responsibilities: • Build, maintain, and operate cloud-based infrastructure across production and non-production environments, • Administer and support Linux and Windows systems, • Contribute to infrastructure design with a focus on availability, scalability, and security, • Design, implement, and maintain CI pipelines for on-premise and cloud-hosted applications, • Support and improve CD and GitOps workflows (e.g., Argo CD), • Maintain and optimise build infrastructure and build agents, • Deploy, operate, and support Kubernetes workloads, services, ingress, and configuration, • Troubleshoot Kubernetes and container-related issues in production environments, • Implement and maintain monitoring, alerting, and logging solutions, • Support operational aspects of platforms such as MongoDB, PostgreSQL, Apache Kafka, and OpenSearch Required Skills & Experience: • Experience in a DevOps or Platform Engineering role, • Strong Linux knowledge and working knowledge of Windows, • Hands-on experience with CI/CD pipelines, • Experience deploying and operating applications in cloud environments, • Working knowledge of Kubernetes and container-based workloads, • Experience with Git-based workflows, • Scripting skills (Shell/Bash and/or PowerShell), • Familiarity with monitoring, alerting, and incident management practices Desirable Skills: • Experience with GitOps tooling (e.g., Argo CD), • Experience with Bamboo and Bitbucket, • Knowledge of Kafka, MongoDB, or PostgreSQL operations, • Experience operating OpenSearch or similar logging platforms, • Understanding of cloud security and access control (RBAC, secrets) This is an exciting opportunity to be part of an agile, fast-moving environment with a strong focus on continuous improvement and operational excellence with a competitive salary and benefits, with flexible options of hybrid working where possible and fantastic opportunities for professional growth, training, and progression.

Working for one of the countries leading supplier of engineers to the telecoms industry. Join this growing team to develop your career with long-term fibre installation work. Fully expensed van and tools provided. Broadband FTTP Installation Engineer Working on the City Fibre Network Self-Employed (CIS) | £64 per install, per pair - Plus bonuses Do you live in or within 15 miles of one of the following postcodes: Reading (RG, GU), Bournemouth (BH, DT, SO), Aberdeen (AB), Glasgow (G, ML, FK, KA), Portsmouth (PO), Sheffield (S, DN), Northampton (NN), Swindon (SN), Ipswich (IP), Cambridge (CB), Dewsbury (WF), Chippenham (SN), St Albans (AL), Hull (HU), Newcastle Upon Tyne (NE, SR), Dundee (DD), Huddersfield (HD, BD, HX), Leeds (LS), Slough (SL), Bognor Regis (PO), Chelmsford (CM), Erdington (B72), Hartlepool (DH, TS), Southend on Sea (SS), Inverness (IV), Maidenhead (SL), Plymouth (PL) The Role · Installing fibre broadband in customer homes · Working at heights (15 Metres) and within underground networks · Fibre splicing, testing, and fault-finding · Working independently and to KPIs · Following Health & Safety procedures at all times Who Should Apply · Engineers with previous telecoms, fibre, or broadband installation experience · Engineers returning to telecoms who may need refresher training or updated accreditations · Candidates with experience on the CityFibre or Alternative networks · Safety-conscious individuals who follow procedures and standards · People comfortable working outdoors year-round · Candidates confident using smartphones or handheld devices to follow job instructions· Reliable, organised problem-solvers · Full UK manual driving licence (held for at least 12 months, maximum 6 points) Role Benefits: · Pay per completed installation once deployed · Training and deployment support · Van, tools, fuel card, PPE, and uniform provided · Industry-recognised qualifications · Long-term work opportunities What’s in It for You · Pay per completed installation once deployed · Training and deployment support · Van, tools, fuel card, PPE, and uniform provided · Industry-recognised qualifications · Long-term work opportunities What Happens Next ·Application review ·Short Microsoft Teams meeting · Training / assessment · Deployment onto live FTTP work Contact us on 01865 591281 option 1 - our dedicated telecoms engineer line. One of our team is waiting to assist you.

Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: • Tune machine learning methods to best leverage our state-of-the-art processing capabilities, • Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment, • Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment...

Senior DevOps Engineer - Manchester (Hybrid) - £80,000 + BonusAbout the Organisation We are working with a rapidly expanding technology business headquartered in Manchester, currently strengthening its platform engineering and DevOps capability. The organisation is undergoing significant investment in infrastructure, automation, and cloud technologies, providing an excellent opportunity to help shape the future direction of its technical landscape. This role sits closely alongside the Data function, supporting the platforms and environments that enable advanced analytics and business-critical insights. The Opportunity As a Senior DevOps Engineer, you will play a key role in designing, building, and optimising modern infrastructure and delivery pipelines. You'll collaborate with teams across Engineering, Data, Architecture, and Security to deliver scalable, secure, and highly automated solutions. The position involves hands-on work across both cloud and virtualised environments, with a strong focus on container orchestration, infrastructure as code, and automation of operational processes. Key Responsibilities • Design and develop automation solutions for applications and infrastructure., • Orchestrate and manage Kubernetes clusters to support containerised workloads at scale., • Build and optimise multi-region AWS network architectures, including VPC design, connectivity, and inter-region linking., • Manage and provision virtual machines within VMware environments, tailoring configurations to meet specific application and workload requirements., • Implement elasticity and scaling strategies, including load balancing solutions., • Use Terraform to define, deploy, and maintain infrastructure across both cloud and VMware platforms., • Develop, enhance, and maintain CI/CD pipelines and modern deployment practices., • Improve system reliability, monitoring, and operational efficiency through automation., • Support security, compliance, and governance initiatives across the infrastructure estate.What We're Looking For, • Proven experience in DevOps, platform engineering, or infrastructure roles., • Strong hands-on expertise with Kubernetes and container orchestration., • Solid understanding of AWS networking, including multi-region environments and VPC architecture., • Experience working with VMware technologies, including provisioning and managing virtual machines., • Practical knowledge of Terraform for infrastructure provisioning across cloud and virtualised environments., • Experience implementing automation for application deployment and operational processes., • Familiarity with CI/CD tooling and modern DevOps practices., • Strong scripting and problem-solving abilities., • A collaborative mindset with the ability to work effectively across technical teams.What's On Offer, • Salary up to £80,000 plus performance bonus, • Hybrid working model, with time spent in the Manchester office, • Generous pension contribution, • 25 days' holiday plus bank holidays, • Flexible working arrangements, • Opportunity to play a key role in shaping a modern DevOps and platform engineering function If you're looking to take ownership of automation, cloud networking, and platform scalability within a forward-thinking environment, this role offers an excellent next step. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Platform Engineer (Go/Rust) - Remote (UK) £90–100k + equity 30 days holiday Our client is a UK startup building a low-code modelling platform designed to replace spreadsheet-driven workflows for SMEs. Founded by the entrepreneur behind one of the world's most influential enterprise planning platforms (acquired for ~$8bn), the mission is to bring that same power to businesses that have been underserved by tooling for too long. Pre-commercial launch. Greenfield infrastructure. Real stakes. The technical challenge You'll be building and owning the production infrastructure for a multi-user distributed system from the ground up. That means designing for debuggability and observability from day one, not bolting it on later. Core remit includes scalable multi-environment Terraform, secrets management, gradual deployment practices (blue/green), and the ability to spin up full environment copies for testing. An AI/multi-agent infrastructure component is on the near-term roadmap. The stack IaC Terraform + Terragrunt Helm / Kubernetes AWS Observability Prometheus / Grafana Auth0 Rust / Golang NoSQL What they're looking for • Production experience with Terraform, Helm/Kubernetes, AWS networking, and debugging multi-service systems, • Observability tooling, secrets management, and authentication services in real production environments, • Comfortable operating in a distributed, multi-user system with a strong sense of end-to-end ownership, • Rust familiarity is a bonus, backend services are written in it and there's scope to contribute at that layer Engineering culture This is a team that treats design decisions as seriously as code; options are documented, tradeoffs are considered at codebase level, and mature judgment is valued over ticket throughput. Engineers own problems end-to-end and communicate proactively. Interested? Please reach out!

AI Engineers & Technical AI Leaders Manchester | Hybrid We're supporting a major consulting and technology organisation delivering AI and data transformation programmes across Financial Services and Banking The focus is applied AI engineering, building production grade AI solutions across banking, risk, fraud, automation and enterprise platforms. Hiring across multiple levels, from Engineers through to senior technical leadership. What you'll be doing Building AI-enabled platforms and intelligent workflows Working with LLMs, RAG pipelines and embedding models Developing scalable backend services and AI integrations Collaborating across engineering, architecture and business teams Supporting AI deployment, governance and operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements Strong software or data engineering foundations Experience delivering AI or AI-enabled solutions Exposure to cloud and modern data platforms Financial Services or regulated industry experience essential Strong communication and stakeholder skills Open to candidates from Engineer through to Sen...

AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities • Design and build high-performing AI m...

GCP CloudOps Engineer £40,000 to 73,000 GBP Bonus Hybrid WORKING Location: Manchester, North West - United Kingdom Type: Permanent GCP CloudOps Engineer £40,000 - £73,000 + Bonus Manchester | Hybrid Hiring across multiple levels (mid, senior & lead) We're hiring CloudOps engineers to help run and improve large-scale Google Cloud environments used by enterprise customers. This is a hands-on operations and engineering role focused on reliability, automation, supportability, and continuous improvement across cloud platforms. You'll work closely with infrastructure, platform, and development teams to keep systems stable, secure, and scalable. We're open to different levels of experience, so whether you're already leading cloud operations or you're looking to step into a more senior role, we'd like to hear from you. What you'll be doing • Managing day-to-day operations across GCP environments, • Monitoring cloud platforms and responding to incidents, alerts, and service issues, • Troubleshooting infrastructure, networking, and application-related problems, • Improving platform reliability through automation and operational improvements, • Writing scripts and tooling to remove manual processes and improve efficiency, • Supporting CI/CD pipelines and deployment proce...

SC Cleared DevOps Engineer Initial 6-Month Contract Hybrid Working - Blackpool £600 - £700 p/day, Inside IR35 We're recruiting for an SC Cleared DevOps Engineer to support a large-scale cloud and platform engineering programme within a secure enterprise environment. This role will focus on container platforms, cloud security and CI/CD delivery across modern infrastructure environments. Key responsibilities: Deploying, managing and optimising Kubernetes environments, including AKS Supporting CI/CD pipeline development and automation initiatives Implementing and maintaining cloud security tooling, including Wiz Working closely with infrastructure and development teams to improve deployment processes Monitoring platform performance, reliability and security compliance Supporting troubleshooting, incident resolution and continuous improvement activities Required experience: Active SC Clearance Strong hands-on DevOps engineering experience within an enterprise environment Proven experience with Kubernetes and Azure Kubernetes Service (AKS) Experience with cloud security tooling, ideally Wiz Strong understanding of CI/CD pipelines and automation best practicesECS Recruitment Group Ltd is acting as an Employment Business in relation to this vacancy...

SC Cleared DevOps Engineer Initial 6-Month Contract Hybrid Working - Blackpool £600 - £700 p/day, Inside IR35 We're recruiting for an SC Cleared DevOps Engineer to support a large-scale cloud and platform engineering programme within a secure enterprise environment. This role will focus on container platforms, cloud security and CI/CD delivery across modern infrastructure environments. Key responsibilities: • Deploying, managing and optimising Kubernetes environments, including AKS, • Supporting CI/CD pipeline development and automation initiatives, • Implementing and maintaining cloud security tooling, including Wiz, • Working closely with infrastructure and development teams to improve deployment processes, • Monitoring platform performance, reliability and security compliance, • Supporting troubleshooting, incident resolution and continuous improvement activities Required experience: • Active SC Clearance, • Strong hands-on DevOps engineering experience within an enterprise environment, • Proven experience with Kubernetes and Azure Kubernetes Service (AKS), • Experience with cloud security tooling, ideally Wiz, • Strong understanding of CI/CD pipelines and automation best practices ECS Recruitment Group Ltd is acting as an Employment Business in relation to this vacancy. AMRT1_UKTJ ...

Software Engineer - 6 months FTC • .NET, C#, APIs, AI, • Salary £65k, • Hybrid working - 3 days on-site, Greater Manchester Who We Are We're a forward-thinking, tech-driven organisation developing robust digital products used by a large user base. Our engineering teams operate within cross-functional Agile squads, focusing on modern engineering principles to build scalable, resilient systems that evolve alongside continued growth. We're also investing in a new greenfield project, leveraging AI-driven tools to shape the next generation of our products. Who We're Seeking We're looking for a Backend Software Engineer with solid .NET experience and a strong attention to detail. You'll be confident taking ownership of backend services, contributing to architectural discussions, and collaborating with a wider engineering team to deliver efficient, maintainable solutions. What You'll Be Doing • Designing, developing, and enhancing backend services and APIs, • Contributing to a greenfield project utilising modern AI tools, • Taking ownership of features from concept through to deployment, • Producing clean, maintainable, and well-tested code, • Working closely with engineers, product, and delivery teams, • Maintaining and optimising existing systems in production What You'll Bring • Proven experience working with .NET in a commercial envi...

Great opportunity for a Senior Software Engineer to join a private equity backed tech company in Manchester as they scale in 2026. You'd join a product-based squad within a larger engineering department and would be given the opportunity to be involved in all aspects of the systems you work on, from design through to deployment and supporting them in production. Each squad decides the methodologies and practices they use, as the business has created an experimental culture, following a build, measure and learn approach to get quick feedback and deliver valuable increments. The existing group are very open minded; they value teamwork over individual heroics and focus on engineering best practice like TDD, CI/CD and Pair Programming. Skills: • C#, .NET, React, • REST APIs, Microservices, Event Driven Systems, • AWS, Terraform, Docker, • CI/CD, TDD, Pair Programming The money is good too – up to £75k plus benefits including hybrid working (2 days per week in Manchester). If you're interested in this opportunity and would like to know more, please apply through this advert and I will contact you ASAP. AMRT1_UKTJ ...

We're currently looking for a Cloud DevOps Engineer to join a growing technology team focused on cloud transformation, infrastructure automation, and modern platform engineering. This role is ideal for someone with strong cloud and DevOps experience who enjoys working across automation, CI/CD, infrastructure-as-code, and scalable cloud environments. Responsibilities • Build, maintain, and optimise cloud infrastructure across Azure and/or AWS environments, • Design and manage CI/CD pipelines to support development and deployment processes, • Implement infrastructure automation using Infrastructure-as-Code tools, • Support containerised environments and Kubernetes platforms, • Monitor platform performance, availability, and reliability, • Collaborate with development, infrastructure, and security teams, • Support cloud migrations, platform modernisation, and DevOps best practices, • Maintain security, compliance, and disaster recovery standards across cloud environments Skills Required • Strong Azure and/or AWS experience, • CI/CD pipeline experience (Azure DevOps, GitHub Actions, Jenkins), • Terraform, Ansible, or other Infrastructure-as-Code tooling, • Docker and Kubernetes experience, • Linux administration knowledge, • Scripting experience (PowerShell, Bash, Python), • Monitoring and logging tools experience, • S...

Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy’s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: • Tune machine learning methods to best leverage our state-of-the-art processing capabilities, • Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment, • Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monit...

Cyber Analytics Data Engineer | £500-£560p/day (Inside IR35) | 6 months initially | Manchester (Hybrid) Our client is looking for a Cyber Analytics Data Engineer to join a specialist team delivering advanced analytics solutions within a cybersecurity environment. This role is ideal for someone who combines strong engineering capability with a solid understanding of the cyber domain. Key skills required: • Strong Python development experience, • Databricks and PySpark expertise, • Experience with cloud-based data platforms (AWS, Azure and/or GCP), • Data Engineering and analytics at scale, • Apache Spark ecosystems, • Cyber Security or Security Analytics experience, • CI/CD and automated deployment practices, • Strong stakeholder engagement and communication skills You will play a key role in supproting junior team members too, whilst collaborating with a range of cyber functions. If this sounds of interest, apply now! Cyber Analytics Data Engineer | £500-£560p/day (Inside IR35) | 6 months initially | Manchester (Hybrid)

Role: Deskside Support Engineer Job Type: Full Time Job location: Manchester, UK (5 days from office) Mandatory skills: Windows 11, MECM, InTune, O365, ITIL, Problem Management, Service Now, Application deployment, Hardware repair Position Overview: We are seeking a highly skilled and detail-oriented end user computing Engineer to join our team existing DSS team. In this role, you will be part of a DSS team responsible for supporting business users for IT related issues, New Joiner onboarding, Meeting room supports, reimaging machines, application installation, printer support and Win 11 operating systems across our organization. You will have strong knowledge in Windows operating systems, Mac OS, system configuration, and troubleshooting will all play a critical role. Skills Windows 11, MECM, InTune, O365, ITIL, Problem Management, Service Now, Application deployment, Hardware repair Key Responsibilities: 1. Reimaging Machines: Own the reimage laptops/desktops via SCCM using PXE. Maintain spare built machine within the business for user allocation in case of laptop swaps., 2. User Onboarding/Offboarding: Onboard new users and set up new laptop. First time user setup, MFA and updating CMDB with the asset details., 3. Troubleshooting and Support: Provide advanced-level support to resolve Office or Operating systems related iss...

MAIN GOALS AND OBJECTIVES Technical authority for HCP4 (High Performance Computer 4) on BEV/PHEV electrical architectures, in depth technical knowledge and guidance, to support and ensure achievement of business objectives and technical development, delivering on time and within budget. RESPONSIBILITY/TASKS AND CUSTOMERS MAIN RESPONSIBILITIES (Maximum of 5 relating to products, services etc) Internal/External Customers 1. Accountable for deliverables to a specified timeframe, quality and cost. • Ability to demonstrate deliverables status at any time with Key Performance Indicators., • PEP reporting tools, • Budget plans, • Component/SW/HW delivery plans for a given project, • Function delivery plans and supporting function maturity planning, • Manage workload on a daily basis and respond to both long term and short term task requests., • Interfacing within EE and other areas of Engineering to ensure cross functional working to ensure consideration of systems engineering., • Responsible for leading prompt concern resolution on existing systems/parts and processes, provide containment solutions when necessary., • Manage any outsourced work in the same technical area, including supplier management where required., • Manage specific budgetary requirements to meet KPI objectives. Engineering Manufacturing 1. Developing and maintaining specialist technical and business knowledge and capability, to ensure appropriate technical direction is provided. • Propose process and method improvements to develop departmental capability., • Ability to lead on technical direction/options working with other departments/engineers which interface with the Energy Management Systems team., • Provide technical direction to other EESK feature owners in the team to support them in providing accurate information to other areas., • Provide technical input into concepts for future development., • Committed to own continuous professional development. Engineering, Manufacturing, Quality, Suppliers 1. Accountable for developing and influencing the strategic technical direction within specialist area of HCP4. • Demonstrate a broad awareness of process and operational requirements within the area., • Responsible for the delivery of attribute targets and in some cases defining targets based on current and future technologies in HCP4., • Support and provide technical knowhow in relation to product planning., • Advise management of strategic opportunities in areas of technical expertise., • Develop and gain agreement for the strategic technical direction/Technical Roadmaps within specialist area., • Keep up to date with industry innovations and relevant Group technical roadmap deployment. Engineering, Manufacturing, Quality, Group, HSE, Suppliers 1. Maintain effective communication internally and within Group. • Responsibility to ensure factual and effective communication is provided at all levels, including within all cross-functional working teams., • Participation and effective representation of function/Company in appropriate technical meetings., • Responsible for the collation and presentation of relevant data in order to consult and lead functional /cross-functional meetings., • Transparent issue escalation to management, accountable for identifying and escalating issues and risks to management, • Develop relationships with counterparts in appropriate internal functions and organisations, and provide relevant guidance to suppliers., • Make recommendations and effective presentations to the business in area of technical specialism, with the ability to explain and break down technical detail/direction. Engineering, Manufacturing, Quality, Group, HSE, Suppliers KEY COMPETENCIES & QUALIFICATIONS SKILLS & EXPERIENCE Appropriate experience working in the Automotive Industry in ECU Delivery, customer facing systems and related parts/systems/sub-systems Experience of the product development process from concept to production. Strong influencing skills and communication, with a commitment to building positive relationships with other functions and the team. Liaising with Group as an outward facing expert. Ability to share technical knowledge effectively with others, support and guide as appropriate to ensure deliverables can be met Demonstrable experience of process improvement activities within the specific technology. Business awareness and ability to make and influence strategic decisions within the business context. Understanding and ability to demonstrate behaviours in line with the Bentley People Framework. PRACTICAL & TECHNICAL KNOWLEDGE Has demonstrable knowledge applicable to the technology areas in a relevant Engineering discipline. Understands business cycle planning and business case creation A proven knowledge of Body Control systems and practical experience of development of such systems Understanding and application of all required sign off legislative and environmental requirements. Demonstrable knowledge and application of Company problem solving tools and skills. QUALIFICATIONS Higher Engineering degree or equivalent. Preferably Chartered Engineer, or with a desire to achieve/currently working towards Chartered status. Proficiency in German language would be an advantage.

AI Engineers & Technical AI Leaders Manchester | Hybrid We're supporting a major consulting and technology organisation delivering AI and data transformation programmes across Financial Services and Banking The focus is applied AI engineering, building production grade AI solutions across banking, risk, fraud, automation and enterprise platforms. Hiring across multiple levels, from Engineers through to senior technical leadership. What you'll be doing • Building AI-enabled platforms and intelligent workflows • Working with LLMs, RAG pipelines and embedding models • Developing scalable backend services and AI integrations • Collaborating across engineering, architecture and business teams • Supporting AI deployment, governance and operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements • Strong software or data engineering foundations • Experience delivering AI or AI-enabled solutions • Exposure to cloud and modern data platforms • Financial Services or regulated industry experience essential • Strong communication and stakeholder skills Open to candidates from Engineer through to Senior Manager level. If you're open to a confidential conv...

Hybrid Python Senior Software Engineer Hybrid working post-training (3 days a week in office, 2 days at home) Location – Manchester Salary - £50,000 to £65,000 We are hiring a Senior Software Engineer to lead end-to-end feature development and architectural design. This role is built for a technical leader who prioritizes high-impact delivery over routine maintenance. Tech Stack Backend: Python, FastAPI, Ruby on Rails Frontend: React.js, Next.js, React Native Cloud: AWS, Terraform, Ansible, Docker Logging & Monitoring: Splunk Practices: Cross‑functional squads, Agile, transitioning toward TDD Experience Strong experience in full‑stack development (Python or Ruby on Rails + React/Next.js or React Native) Prior experience liaising with product teams and business stakeholders Solid understanding of software architecture, design patterns, and automated testing Ability to design and deliver complex features from scratch and communicate them to non-technical stakeholders Excellent problem‑solving skills and attention to detail Key Responsibilities Feature Ownership: Drive full-lifecycle development from initial design to production deployment. Architecture: Define and scale our modern, cloud-native stack. * Product Alignment: Partner with Product Owners to translate business requirements into technical soluti...

Frontend Engineer Location: Manchester Role Type: Permanent Work Setup: Hybrid - 3 days onsite Who We Are Vanguard is a global investment firm known for low-cost funds and ETFs, helping investors achieve long-term financial goals with transparent, disciplined strategies. What you'll do • Develop and maintain reusable Angular v18+ UI components using TypeScript, following modern patterns such as standalone components and Server Side rendering, • Manage Nx monorepo architecture, ensuring clean project boundaries and efficient build, test, and release workflows across multiple packages, • Build and maintain Storybook documentation with accessibility compliance, design integration, and MDX-based component guides, • Integrate Adobe Experience Manager (AEM) using the SPA SDK for headless and hybrid content delivery, including Maven-based deployment processes, • Maintain and optimise CI/CD pipelines across build, lint, test, and publishing stages, supporting AWS-based deployments, • Drive engineering improvements by introducing AI-enabled tools, including agent-based workflows, automated testing solutions, and npm package versioning aligned with semantic standards What you bring • 3-5 years' experience in Front End or full-stack development, ideally within financial services environments, • Strong prof...

Principal AI/ML Engineer - Technical Lead Manchester, UK (Hybrid or Remote) I’m currently partnering with a highly innovative AI company building advanced Computer Vision and visual intelligence technology deployed at global scale. This is not a research-only role or a position focused on experimenting in isolation. The company is looking for someone who can take ownership of the entire AI production lifecycle - from raw data collection and training pipelines through to robust, production-ready models operating in demanding environments. The role is ideal for someone who combines deep technical expertise with a hands-on approach to engineering and leadership. The Opportunity You will lead the design and evolution of the company’s AI production pipeline, covering data ingestion, organisation, annotation strategy, model training, validation, optimisation, deployment, and monitoring. The focus is on building industrial-grade Computer Vision systems that perform reliably outside the lab - with real constraints around latency, scalability, reliability, and throughput. You’ll work closely with Engineering, Product, and AI teams to ensure research and technical innovation translate directly into commercial impact. This role also comes with significant influence internally. You’ll have the autonomy to help shape the structure, standards, and direction of the AI/ML function, while hiring and developing a high-performing international team. Key Responsibilities • Own and scale the end-to-end AI/ML production lifecycle, • Build high-performance Computer Vision systems for production deployment, • Drive development across Object Detection, Segmentation, Tracking, and Transformer-based architectures, • Define standards across MLOps, model quality, deployment, monitoring, and engineering best practice, • Improve the speed and efficiency of taking models from raw data to production, • Work cross-functionally with Product and Engineering teams on long-term technical strategy, • Hire, mentor, and grow AI/ML engineering teams across multiple locations, • Establish scalable team structures, workflows, and delivery processes within an Agile environment Requirements • Proven track record delivering ML or Computer Vision products into production at scale, • Strong expertise across modern Computer Vision techniques and deep learning architectures, • Excellent Python and C++ engineering skills, • Experience optimising training and inference pipelines for real-world deployment, • Strong systems and engineering mindset alongside deep ML knowledge, • Previous experience leading technical teams while remaining hands-on, • MSc or PhD in Computer Science, Machine Learning, or a related field preferred The company offers a strong engineering culture, high levels of technical ownership, and the opportunity to work on difficult AI problems with direct real-world impact. If you are interested in applying, please apply through the link

Senior Systems Support Engineer About the Company Our client is a global technology organisation delivering innovative solutions across transportation and critical infrastructure sectors. The company focuses on improving customer experiences through advanced technology, operational excellence, and secure digital services. Operating internationally, they are committed to innovation, collaboration, and delivering high-quality solutions to both public and private sector customers. The Role We are seeking a Senior Systems Support Engineer to support the operational delivery and maintenance of enterprise endpoint management and patching solutions across a large-scale corporate IT environment. The successful candidate will be responsible for maintaining endpoint management platforms, delivering software deployments, managing operating system builds, supporting security patching activities, and providing 2nd/3rd line technical support. The role also involves root cause analysis, technical project delivery, and ensuring compliance across end-user environments. Key Responsibilities • Ensure the availability and performance of endpoint management and software deployment platforms., • Manage and maintain services including:, • Patch Management, • OS Provisioning, • Software Distribution, • Endpoint Configuration, • Develop and maintain operational processes relating to system builds, patch creation, software packaging, deployments, reporting, and security controls., • Investigate and remediate security vulnerabilities across desktop and server estates within agreed timelines., • Support security hardening and compliance activities across front-office platforms and applications., • Assist in improving endpoint delivery strategies including:, • Application deployment, • Antivirus management, • Security patching, • Driver and firmware updates, • Operating system deployment, • Manage documentation relating to systems, processes, and operational procedures., • Own the full lifecycle of patch deployment activities from testing through to production rollout., • Support platform upgrades, migrations, and access control management., • Participate in technical projects involving software deployment to bespoke hardware and devices., • Escalate issues appropriately and contribute to incident resolution., • Support training and knowledge transfer activities following technical changes., • Work collaboratively with internal teams, stakeholders, and customers where required. Required Skills & Experience Essential • Degree in Computer Science, Engineering, or equivalent commercial experience., • Strong experience with enterprise patch management and endpoint management tools such as:, • Ivanti Endpoint Manager, • Microsoft SCCM, • ManageEngine, • NinjaOne, • or similar technologies, • Strong PowerShell scripting experience., • Experience deploying and supporting Microsoft operating systems across desktop and server environments., • Experience supporting multi-platform infrastructure environments., • Proven experience managing patch testing and deployment environments., • Strong understanding of Microsoft Windows desktop support., • Experience supporting Linux/Unix desktop environments (e.g. Ubuntu)., • Experience working within ITIL environments including change and release management., • Understanding of quality and service management standards such as ISO 9001 / ISO 20000., • Strong networking fundamentals including TCP/IP., • Experience with Microsoft Active Directory technologies including:, • DNS, • DHCP, • Group Policy, • WSUS, • DFS, • Experience with OS imaging and deployment technologies including PXE and system imaging solutions. Desirable • ITIL certification., • Microsoft certifications., • Experience managing services against strict SLAs., • Experience with virtualisation technologies including:, • VMware, • Hyper-V, • Experience with additional scripting or development languages such as:, • Bash, • Powershell, • VB.NET, • C++, • .NET, • Batch scripting

Adria Solutions Ltd. is looking for an AI Implementation Engineer in Manchester to drive AI adoption across the organization. This hands-on role involves delivering AI solutions from concept to deployment, collaborating closely with IT and commercial teams. The ideal candidate will have deep expertise in Python, experience with Azure, and a proven ability to build effective AI models. The role also offers hybrid working arrangements and opportunities for career progression. #J-18808-Ljbffr

Professional experience in software engineering or embedded/software development roles. We are seeking a highly experienced Software Engineer with a strong background in modern C++ development for real-time, distributed systems deployed on Linux-based platforms. Collaborate with cross-functional tea

Senior Platform / DevOps Engineer. This is a hands‑on role with real influence, sitting at the centre of platform engineering, DevOps, and data infrastructure. Hands‑on experience owning CI/CD pipelines and deployment processes (Azure DevOps or GitHub Actions).

Senior Software Engineer, Full Stack – AI. Build data expertise and own data quality for allocated areas of ownership. Experience with CI/CD concepts and implementing build and deployment pipelines incorporating security, automation and quality (DevSecOps).

Finova Technologies Private Limited is hiring a Platform Engineer based in Manchester with a hybrid work model.The role involves ensuring stability and evolution of a multi-cloud ecosystem, primarily focusing on AWS and Azure, to optimize deployment processes.You will lead initiatives that enhance d

Fitch Group is seeking a Machine Learning Engineer in Manchester to lead the development and deployment of innovative AI solutions in a high-impact role.

A financial services business in Manchester is seeking a Machine Learning Engineer to build and maintain ML tooling and deployment frameworks. Ideal candidates have strong Python skills and experience in data science or ML Ops, particularly in financial services.

Experience as a DevOps Engineer with strong expertise in CI/CD, containerisation, deployment technologies, and cloud platforms (Jenkins, Kubernetes, IaC, Docker, AWS). From engineering data and intelligence solutions to advancing mission systems for the UK and NATO — what we do together matters. M

The DevOps Engineer ensures service reliability and performance by maintaining and supporting key components, proactively monitoring metrics, and performing updates to ensure accessibility, stability, and capacity for production and deployment. You’ll have a strong foundation in DevOps culture, wi

Software Development & Deployment Engineer. Play a pivotal role in the design, integration, and deployment of. CI/CD, and deployment processes.

We are hiring a Senior Software Engineer to lead end-to-end feature development and architectural design. This role is built for a technical leader who prioritizes high-impact delivery over routine maintenance. Tech Stack Backend: Python, FastAPI, Ruby on Rails Frontend: React.js, Next.js, React Native Cloud: AWS, Terraform, Ansible, Docker Logging & Monitoring: Splunk Practices: Cross - functional squads, Agile, transitioning toward TDD Experience Strong experience in full - stack development (Python or Ruby on Rails + React/Next.js or React Native) Prior experience liaising with product teams and business stakeholders Solid understanding of software architecture, design patterns, and automated testing Ability to design and deliver complex features from scratch and communicate them to non-technical stakeholders Excellent problem - solving skills and attention to detail Key Responsibilities Feature Ownership: Drive full-lifecycle development from initial design to production deployment. Architecture: Define and scale our modern, cloud-native stack. Product Alignment: Partner with Product Owners to translate business requirements into technical solutions. Mentorship: Maintain high engineering standards through code reviews and technical leadership. Requirements Technical Excellence: Expert-level proficiency in cloud-native environments and scalable systems. Execution: Proven track record of shipping production-grade code at pace. Communication: Ability to articulate complex technical concepts to non-technical stakeholders. Collaboration: A "team-first" approach to problem-solving and organizational growth. The Impact You will operate within a high-velocity engineering team where code ships fast and technical decisions directly influence business ROI. We value efficiency, autonomy, and rigorous engineering standards. Hybrid Python Senior Software Engineer Hybrid working post-training (3 days a week in office, 2 days at home) Location Manchester Salary - £50,000 to £65,000 TPBN1_UKTJ

Senior FGPA Engineer £Up to £75,000 GBP Onsite WORKING Location: Manchester, North West - United Kingdom Type: Permanent Senior FPGA Engineer (High-Performance & Secure Systems) Our client is a specialist technology organisation developing high-performance hardware appliances for use in highly secure and demanding environments. As a Senior FPGA Engineer , you will work on the design and delivery of complex FPGA-based systems, contributing to full-stack hardware solutions used within defensive cyber and secure communications domains. Based onsite in Manchester , this is a hands-on role offering full lifecycle involvement, from blank-sheet design through to delivery and in-service support. You will work closely with software, hardware, and systems engineers to develop reliable, maintainable, and high-bandwidth solutions where security is a primary design consideration. You'll have the opportunity to: Design and develop FPGA firmware for high-performance security appliances Work across full product lifecycles, from concept and architecture through delivery and support Develop VHDL-based FPGA solutions for high-bandwidth data processing Work with modern FPGA platforms and toolchains (Altera preferred, others considered) Collaborate with embedded software, hardware, and systems engineering teams Contribute to the design of complete appliances including FPGA, software, and hardware elements Solve complex technical challenges in secure, real-world deployment environments Your Responsibilities As a Senior FPGA Engineer , you will: Develop FPGA firmware in VHDL for high-bandwidth data processing applications Design and implement high-speed FPGA interfaces including networking and DRAM Contribute to system-level design of secure hardware appliances Support integration across FPGA firmware, embedded software, and custom hardware Participate in verification, test, and in-service support activities Work within export-controlled and security-sensitive engineering environments Contribute to technical decision-making and engineering best practices Key Requirements As a Senior FPGA Engineer , you should have: Strong hands-on experience developing FPGA solutions using VHDL Experience with high-bandwidth data processing in FPGA-based systems Familiarity with high-speed interfaces such as networking and DRAM Experience designing FPGA-based solutions within secure or regulated environments Working knowledge of hardware design principles Experience with at least one modern FPGA toolchain (Altera, Xilinx, Achronix, or similar) Willingness to work onsite in a secure engineering environment Eligibility for UK Security Clearance and compliance with nationality requirements You will gain exposure with: Working as a Senior FPGA Engineer , you will be involved in: FPGA-centric system design for defensive cyber and secure technology applications Full-stack appliance development spanning FPGA, embedded software, and custom hardware High-performance, security-led engineering environments You will operate in an environment that combines: Blank-sheet product development High-bandwidth, high-reliability system design Long-term ownership of delivered engineering solutions Why Join? Work on challenging FPGA designs with real-world security impact Own FPGA development across full product lifecycles Operate in a technically deep, onsite engineering environment Competitive salary range £60,000 - £75,000 depending on experience Stable programmes focused on long-term technical capability Interested? Apply now. Reference: AON/AMC/RKFGPA #aaon TPBN1_UKTJ

Senior Software Engineer - Python - Agentic AI Fully Remote (UK / Europe)A small and talented team of engineers, data scientists, and AI specialists are quietly building something exciting. Well-backed and operating in the AI delivery space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Senior Software Engineer, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. It's not about knowing everything on day one. It's about being curious and pro-active to learn and evolve. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software developmentWhy this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhereIf you're an engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this would be a great fit. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy

Senior AI Engineer Manager/Associate Director | Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: www.datatech.org.uk TPBN1_UKTJ

Senior AI Engineer Manager/Associate Director | Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: ·Building and deploying AI prototypes, products and production ready solutions ·Designing and implementing end to end AI solutions that integrate with enterprise systems ·Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning ·Developing AI agents and agentic workflows using modern frameworks ·Working with vector databases, APIs and modern data platforms ·Supporting AI deployment, serving patterns, evaluation frameworks and integration design ·Using Python and SQL to build robust, scalable AI and data solutions ·Working with cloud platforms such as AWS, Azure, GCP or Databricks ·Supporting MLOps, LLMOps, CI/CD and software engineering best practice ·Collaborating with technical and non-technical stakeholders across complex programmes ·Helping identify technical, delivery, security, data privacy and regulatory risks ·Contributing to technical documentation, solution design and delivery planning ·Supporting AI implementation and scaling initiatives across complex environments ·Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: ·Strong Python and SQL experience ·Applied AI engineering, ML engineering or software engineering background ·Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning ·Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks ·Experience with vector databases such as Pinecone, Chroma or similar ·API development experience, ideally with FastAPI or similar frameworks ·Knowledge of MLOps, LLMOps, CI/CD or production deployment practices ·Experience designing or supporting evaluation frameworks for AI or agentic systems ·Experience working with modern data architectures and cloud platforms ·Understanding of AI risk, governance, security and regulatory considerations ·Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed) <(url removed)

Role: Senior Azure Platform Engineer Location: Manchester city centre Working Arrangement: Ideally 2 days per week in office but open to once per month in the office if needed Salary: Up to £90k plus benefits Key skills; Azure, AKS/Kubernetes, Terraform, Golang, AI tooling and platform engineering automation You’ve spent years building and improving cloud platforms. You know what good infrastructure looks like, how to scale systems properly, and how to create environments that engineers actually enjoy working in. You’re probably the person people come to when things get complicated. Whether that’s improving Kubernetes environments, designing resilient Azure infrastructure, fixing bottlenecks in CI/CD pipelines, or helping teams adopt better engineering practices, you’re the one who figures it out. You’re also curious about where engineering is heading next, especially when it comes to AI. That’s exactly why this role could be worth your attention. I’m working with a technology business that is going all-in on AI across its engineering and platform function. They’re investing heavily in AI-assisted tooling, automation, operational intelligence, and developer experience improvements, and they want Platform Engineers who are excited about being part of that journey. You’ll be working in an environment where tools like GitHub Copilot, OpenAI models, Claude, Gemini, AI-powered observability platforms, intelligent deployment workflows, and internal AI tooling are actively being explored and introduced to improve how engineering teams work day to day. This isn’t about ticking a buzzword box. They genuinely want to build a modern engineering environment where AI helps reduce repetitive work, improve operational visibility, speed up delivery, and make developers more effective. From a technical perspective, this is a senior, hands-on platform engineering role where you’ll have a lot of influence over how things are built moving forward. You’ll be designing and improving Azure infrastructure, evolving Kubernetes platforms within AKS, building reusable Infrastructure-as-Code patterns using Terraform and Crossplane, and helping improve reliability, observability, and security across the wider platform estate. You’ll also spend time improving developer tooling and CI/CD processes, helping engineering teams deploy faster and more safely while reducing friction wherever possible. They’re looking for someone who enjoys ownership. Someone who can lead large technical initiatives, mentor other engineers, and help shape engineering standards, while still being close to the technology. Technically, you’ll need strong experience with: Azure cloud environments Kubernetes and AKS Terraform and Infrastructure-as-Code Golang CI/CD tooling and automation Observability tooling such as Prometheus, Grafana, Datadog, or LGTM stacks * Platform reliability, scalability, and security best practices If you’ve worked in platform engineering, DevOps, SRE, or cloud infrastructure environments where you’ve helped modernise systems and improve engineering practices at scale, you’ll likely fit in very well here. There’s also plenty of room for progression. The platform function is continuing to grow, so this role has a clear path towards future Staff or Principal-level opportunities over time. On top of the salary, there’s a strong benefits package including enhanced annual leave, personal training budgets, enhanced pension contributions, hybrid working, company-paid sick leave, enhanced family policies, and additional flexibility around holidays and working arrangements. If you’re looking for a role where you can work with modern cloud technology, influence technical direction, and help shape how AI is integrated into platform engineering, this could be a very good fit for you. We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background

Senior Software Engineer (.NET / AWS) Location: Manchester / Hybrid Salary: Up to £75,000 + benefits The Role We are looking to hire experienced Senior Software Engineers to join a growing engineering function. You'll play a key role in designing and building scalable, cloud-native applications that support a rapidly evolving digital product suite. Working closely with the wider engineering team, product managers, and stakeholders, you'll contribute across the full development lifecycle - from architecture and design through to deployment and optimisation. This is a great opportunity to join a forward-thinking, collaborative team with a strong engineering culture and modern tech stack. Key Responsibilities Design, develop and maintain applications using .NET technologies (C#) Build and deploy scalable systems within AWS cloud environments Contribute to architecture and technical decision-making Work closely with Product and Engineering teams to deliver features Champion best practice, code quality, and mentoring within the team Improve system performance, reliability, and scalability Support CI/CD pipelines and DevOps processes Required Experience Strong commercial experience with .NET / C# Hands-on experience with AWS (essential) Experience building scalable, distributed systems Strong understanding of APIs and microservices architecture Exposure to CI/CD and DevOps ways of working Ability to work autonomously and as part of a team Desirable Skills Experience with Docker / Kubernetes Knowledge of event-driven systems Any frontend exposure (React / Angular) is a bonus Experience in a regulated environment (nice to have) What's on Offer Salary up to £75,000 Hybrid working in Manchester Strong engineering culture and collaborative team Opportunity to influence technical direction Clear progression opportunities Interested? Please submit your CV to Chrissie Rehman at DCS Recruitment via the link provided. Alternatively email me on INDTECH DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

Senior Software Engineer (Full Stack) | Manchester, Hybrid | £55,000 - £65,000 Overview We're supporting a growing, tech company in their search for a Senior Software Engineer to help drive the evolution of their platform. This role suits someone who enjoys building robust applications, influencing technical direction, and working closely with cross-functional teams. The Role You'll play a key role in maintaining and improving a modern web platform, ensuring it is secure, scalable, and built to a high standard. Working alongside product and design, you'll contribute to technical decisions and help deliver new features in a structured, efficient way. Key Responsibilities Maintain high standards across the codebase, focusing on performance, security, and maintainability Collaborate with designers and product teams to deliver technically sound solutions Contribute to architectural improvements and technical direction Support delivery of complex features from planning through to deployment Ensure systems are well-tested, monitored, and reliable in production Take ownership of your work and support continuous improvement Mentor and support other engineers within the team Actively contribute within an Agile/SCRUM environment Essential Skills & Experience Strong TypeScript & Node.js skills Strong experience with React Proven experience in API development AWS Experience Experience building single-page applications (SPA) and applying progressive enhancement principles Strong CSS knowledge Strong understanding of secure coding practices Experience working with SQL databases such as PostgreSQL Familiarity with test-driven development (TDD) Experience working within a cross-functional product development team Benefits Flexible working hours 25 days holiday + bank holidays Pension scheme New tech provided Senior Software Engineer (Full Stack) | Manchester, Hybrid | £55,000 - £65,000 Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website. TPBN1_UKTJ