Location: Birmingham (Hybrid - 3 days onsite) Salary: £45,000 - £50,000 + Excellent Benefits Contract Type: Permanent The Role - SOC Engineer - Cyber We're looking for a hands-on SOC Engineer to join a rapidly growing Cyber Security function within a large enterprise technology environment. This is an opportunity to work in one of the most modern and well-equipped SOC environments in the market, supporting enterprise customers across a broad range of managed security services and cloud technologies. This is a genuinely engineering-led role rather than a traditional SOC analyst position. You'll be heavily involved in infrastructure, cloud security, security tooling, automation, and operational cyber engineering across enterprise-scale environments. Working from a Birmingham-based SOC three days a week, you'll play a key role in supporting customer environments, improving cyber capabilities, and helping showcase a cutting-edge SOC environment to visiting customers and stakeholders. What's in it for you as our Cyber SOC Engineer? Salary of £45,000 - £50,000 Hybrid working environment Excellent company benefits package Flexible benefits scheme Access to industry-leading SOC technology and tooling Dedicated training and development time each week Fully funded learning opportunities and partner-led certifications Opportunities to attend conferences and industry events Career progression within a large enterprise technology organisation Exposure to enterprise-scale cloud and cyber environments Supportive, collaborative, and highly technical team environment Duties as SOC Engineer - Cyber As a Cyber SOC Engineer, you will: Act as a technical escalation point and engineering SME across SOC technologies including SIEM, MDR/XDR, EDR, vulnerability management, and cloud security tooling Support, maintain, and improve cyber security infrastructure across enterprise customer environments Work closely with internal teams and customers to onboard, configure, and optimise security technologies and services Investigate and resolve platform issues, security alerts, log source health problems, and tooling-related incidents Configure and support technologies such as Microsoft Defender, Sentinel, CrowdStrike, Tenable, and related security platforms Assist with vulnerability scanning, remediation support, and operational security improvements Contribute to automation and scripting initiatives using tools such as KQL, PowerShell, Python, or Bash Produce and maintain technical documentation, operational runbooks, and security playbooks Support governance and compliance activities aligned to standards such as ISO27001, GDPR, and NCSC guidance Work collaboratively across infrastructure, cloud, networking, and cyber teams to improve service delivery and operational resilience Stay up to date with emerging cyber threats, technologies, and security best practice Contribute to continual improvement initiatives across the SOC function Who are we looking for as our Cyber SOC Engineer? We're looking for a technically capable and proactive engineer who enjoys solving problems, learning new technologies, and working collaboratively in a fast-paced environment. This role would suit someone from a SOC Engineering, Cloud Security, Infrastructure Security, or Cyber Engineering background who enjoys hands-on technical work rather than purely monitoring or analyst-based responsibilities. You'll ideally have experience with: Microsoft Sentinel and Microsoft Defender EDR/XDR/MDR technologies Vulnerability management tools such as Tenable or Qualys Azure, Microsoft 365, Intune, or AWS environments Security tooling, infrastructure, and cloud platforms Linux and Windows operating systems SIEM technologies and security monitoring Basic scripting or automation using KQL, PowerShell, Python, or Bash ITIL environments and structured change control processes Firewall, endpoint, or cloud security technologies We'd especially like to hear from candidates who are: Strong communicators who can work confidently with both technical and non-technical stakeholders Organised, collaborative, and eager to learn Comfortable working in a customer-facing environment Self-driven and proactive in solving problems Able to take ownership while also working well within a team Interested in developing their cyber engineering and cloud security expertise further Relevant certifications such as SC-200, SC-900, AZ-500, CISSP, or similar would be advantageous, but practical engineering experience is equally important. Please note: Candidates must be eligible for UK Security Clearance (SC/BPSS), including having the right to work in the UK and meeting residency requirements. INDHS
Jun 14, 2026
Full time
Location: Birmingham (Hybrid - 3 days onsite) Salary: £45,000 - £50,000 + Excellent Benefits Contract Type: Permanent The Role - SOC Engineer - Cyber We're looking for a hands-on SOC Engineer to join a rapidly growing Cyber Security function within a large enterprise technology environment. This is an opportunity to work in one of the most modern and well-equipped SOC environments in the market, supporting enterprise customers across a broad range of managed security services and cloud technologies. This is a genuinely engineering-led role rather than a traditional SOC analyst position. You'll be heavily involved in infrastructure, cloud security, security tooling, automation, and operational cyber engineering across enterprise-scale environments. Working from a Birmingham-based SOC three days a week, you'll play a key role in supporting customer environments, improving cyber capabilities, and helping showcase a cutting-edge SOC environment to visiting customers and stakeholders. What's in it for you as our Cyber SOC Engineer? Salary of £45,000 - £50,000 Hybrid working environment Excellent company benefits package Flexible benefits scheme Access to industry-leading SOC technology and tooling Dedicated training and development time each week Fully funded learning opportunities and partner-led certifications Opportunities to attend conferences and industry events Career progression within a large enterprise technology organisation Exposure to enterprise-scale cloud and cyber environments Supportive, collaborative, and highly technical team environment Duties as SOC Engineer - Cyber As a Cyber SOC Engineer, you will: Act as a technical escalation point and engineering SME across SOC technologies including SIEM, MDR/XDR, EDR, vulnerability management, and cloud security tooling Support, maintain, and improve cyber security infrastructure across enterprise customer environments Work closely with internal teams and customers to onboard, configure, and optimise security technologies and services Investigate and resolve platform issues, security alerts, log source health problems, and tooling-related incidents Configure and support technologies such as Microsoft Defender, Sentinel, CrowdStrike, Tenable, and related security platforms Assist with vulnerability scanning, remediation support, and operational security improvements Contribute to automation and scripting initiatives using tools such as KQL, PowerShell, Python, or Bash Produce and maintain technical documentation, operational runbooks, and security playbooks Support governance and compliance activities aligned to standards such as ISO27001, GDPR, and NCSC guidance Work collaboratively across infrastructure, cloud, networking, and cyber teams to improve service delivery and operational resilience Stay up to date with emerging cyber threats, technologies, and security best practice Contribute to continual improvement initiatives across the SOC function Who are we looking for as our Cyber SOC Engineer? We're looking for a technically capable and proactive engineer who enjoys solving problems, learning new technologies, and working collaboratively in a fast-paced environment. This role would suit someone from a SOC Engineering, Cloud Security, Infrastructure Security, or Cyber Engineering background who enjoys hands-on technical work rather than purely monitoring or analyst-based responsibilities. You'll ideally have experience with: Microsoft Sentinel and Microsoft Defender EDR/XDR/MDR technologies Vulnerability management tools such as Tenable or Qualys Azure, Microsoft 365, Intune, or AWS environments Security tooling, infrastructure, and cloud platforms Linux and Windows operating systems SIEM technologies and security monitoring Basic scripting or automation using KQL, PowerShell, Python, or Bash ITIL environments and structured change control processes Firewall, endpoint, or cloud security technologies We'd especially like to hear from candidates who are: Strong communicators who can work confidently with both technical and non-technical stakeholders Organised, collaborative, and eager to learn Comfortable working in a customer-facing environment Self-driven and proactive in solving problems Able to take ownership while also working well within a team Interested in developing their cyber engineering and cloud security expertise further Relevant certifications such as SC-200, SC-900, AZ-500, CISSP, or similar would be advantageous, but practical engineering experience is equally important. Please note: Candidates must be eligible for UK Security Clearance (SC/BPSS), including having the right to work in the UK and meeting residency requirements. INDHS
Prestigious opportunity for a talented and experienced Platform Engineer to join a rapidly growing digital engineering team delivering cutting edge solutions across a diverse portfolio of clients.This is hands on applying your deep engineering and architectural expertise to design, build, and evolve scalable platform solutions that drive digital transformation within some of the UK's most exciting organisations. Collaborating closely with highly skilled, cross functional teams, you will work alongside engineers, architects, and product specialists to push boundaries and deliver impactful, high quality outcomes. Key responsibilities: Design, build, and maintain robust cloud platforms and CI/CD pipelines Contribute across the full software development lifecycle Provide technical leadership and input into system and architecture design Collaborate with cross functional teams to deliver scalable, reliable solutions. Write clean, well documented code and contribute to technical documentation Proactively monitor, troubleshoot, and resolve production issues Continuously improve platform performance, security, and reliability Stay current with emerging technologies and drive innovation and adoption Communicate complex technical ideas to both technical and non-technical stakeholders If you possess a combination of some of the following skills, then LET'S TALK! Strong experience designing and managing cloud native platforms on Google Cloud Platform (GCP) Hands-on expertise with services such as: Compute Engine, GKE (Kubernetes), Cloud Storage VPC networking, IAM, Cloud Functions Proven experience with Infrastructure as Code (e.g., Terraform) Strong background in CI/CD pipeline design (e.g., Jenkins, GitLab CI, Cloud Build) Proficiency in scripting/programming (e.g., Python, Bash, Go) Experience with containerisation & orchestration (Docker, Kubernetes) Solid understanding of cloud networking, security, and identity management Experience with monitoring & observability tools (Prometheus, Grafana, ELK, or similar) Strong Git/version control experience Exposure to the following skills is advantageous but not essential: - Experience with multi-cloud or hybrid cloud environments (AWS, Azure, on-premise). Exposure to service mesh technologies (e.g., Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering (SRE) principles and practices. Familiarity with GCP AI/ML services (AI Platform, AutoML). In return, you will be rewarded with ongoing career development and a market leading benefits package in a flexible, hybrid working environment. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Jun 14, 2026
Full time
Prestigious opportunity for a talented and experienced Platform Engineer to join a rapidly growing digital engineering team delivering cutting edge solutions across a diverse portfolio of clients.This is hands on applying your deep engineering and architectural expertise to design, build, and evolve scalable platform solutions that drive digital transformation within some of the UK's most exciting organisations. Collaborating closely with highly skilled, cross functional teams, you will work alongside engineers, architects, and product specialists to push boundaries and deliver impactful, high quality outcomes. Key responsibilities: Design, build, and maintain robust cloud platforms and CI/CD pipelines Contribute across the full software development lifecycle Provide technical leadership and input into system and architecture design Collaborate with cross functional teams to deliver scalable, reliable solutions. Write clean, well documented code and contribute to technical documentation Proactively monitor, troubleshoot, and resolve production issues Continuously improve platform performance, security, and reliability Stay current with emerging technologies and drive innovation and adoption Communicate complex technical ideas to both technical and non-technical stakeholders If you possess a combination of some of the following skills, then LET'S TALK! Strong experience designing and managing cloud native platforms on Google Cloud Platform (GCP) Hands-on expertise with services such as: Compute Engine, GKE (Kubernetes), Cloud Storage VPC networking, IAM, Cloud Functions Proven experience with Infrastructure as Code (e.g., Terraform) Strong background in CI/CD pipeline design (e.g., Jenkins, GitLab CI, Cloud Build) Proficiency in scripting/programming (e.g., Python, Bash, Go) Experience with containerisation & orchestration (Docker, Kubernetes) Solid understanding of cloud networking, security, and identity management Experience with monitoring & observability tools (Prometheus, Grafana, ELK, or similar) Strong Git/version control experience Exposure to the following skills is advantageous but not essential: - Experience with multi-cloud or hybrid cloud environments (AWS, Azure, on-premise). Exposure to service mesh technologies (e.g., Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering (SRE) principles and practices. Familiarity with GCP AI/ML services (AI Platform, AutoML). In return, you will be rewarded with ongoing career development and a market leading benefits package in a flexible, hybrid working environment. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Join a leading independent technology and services provider as an IT Specialist. Job Overview: Role: IT Specialist Location: Hybrid work - remote sometimes visit customer sites in Croydon or Manchester Contract: 1st June'26 - 1st Dec'26 Mandatory check: SC Clearance Pay Rates: £485/day (via a Hays approved umbrella company). Time: 9:00 AM - 5:30 PM Key Responsibilities: Have strong experience of deploying, configuring, and managing the Dynatrace, Grafana or Splunk platforms to monitor applications, services, servers, networks, and cloud resources. Be proficient in collecting, processing, and analysing various telemetry signals (metrics, logs, traces, events) Ability to analyse telemetry data to identify performance bottlenecks, availability risks, and system anomalies Ability to integrate Dynatrace, Grafana or Splunk with ITSM tools (such as ServiceNow) and CI/CD pipelines for proactive monitoring Have good problem-solving abilities with a systematic approach to diagnosing complex technical issues Strong analytical skills to interpret data, identify patterns, and draw actionable conclusions Be involved in investigating incident response activities and postmortem analyses using Dynatrace, Grafana or provide insights. Has the ability to troubleshoot and resolve data quality issues on time, ensuring data integrity and reliability Have experience of scripting tools such as Python, PowerShell and CI/CD tools for automation Have good experience of using Cloud solutions such as Azure & AWS and containerized environments (Kubernetes, OpenShift) to implement cloud-native monitoring Have good knowledge of ITSM/incident management tools integration. Interacts with and influences colleagues and has working level contact with customers Applies methodical approach to issue definition and resolution Demonstrates effective application of knowledge Takes action to develop their own knowledge and represents this in their work Communicates fluently, orally and in writing, and can present information to both technical and non-technical audiences. Accreditations: Dynatrace Associate & Pro Certifications Microsoft Certified: Security Operations Analyst Associate Splunk Core Certified Power User Desirable Skills: Cloud platforms experience Experience in a DevOps or Site Reliability Engineering role Container native technologies and ecosystem experience The ability to learn new technologies and adapt to changing business needs. Automation and DevOps practices Knowledge of tools like Terraform to automate infrastructure provisioning Building continuous integration and continuous deployment (CI/CD) pipelines for data engineering applications Using Docker and Kubernetes for packaging and deploying data engineering workloads Key Requirements: Candidates must be SC cleared How to Apply: If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Talent Solutions is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Jun 14, 2026
Contractor
Join a leading independent technology and services provider as an IT Specialist. Job Overview: Role: IT Specialist Location: Hybrid work - remote sometimes visit customer sites in Croydon or Manchester Contract: 1st June'26 - 1st Dec'26 Mandatory check: SC Clearance Pay Rates: £485/day (via a Hays approved umbrella company). Time: 9:00 AM - 5:30 PM Key Responsibilities: Have strong experience of deploying, configuring, and managing the Dynatrace, Grafana or Splunk platforms to monitor applications, services, servers, networks, and cloud resources. Be proficient in collecting, processing, and analysing various telemetry signals (metrics, logs, traces, events) Ability to analyse telemetry data to identify performance bottlenecks, availability risks, and system anomalies Ability to integrate Dynatrace, Grafana or Splunk with ITSM tools (such as ServiceNow) and CI/CD pipelines for proactive monitoring Have good problem-solving abilities with a systematic approach to diagnosing complex technical issues Strong analytical skills to interpret data, identify patterns, and draw actionable conclusions Be involved in investigating incident response activities and postmortem analyses using Dynatrace, Grafana or provide insights. Has the ability to troubleshoot and resolve data quality issues on time, ensuring data integrity and reliability Have experience of scripting tools such as Python, PowerShell and CI/CD tools for automation Have good experience of using Cloud solutions such as Azure & AWS and containerized environments (Kubernetes, OpenShift) to implement cloud-native monitoring Have good knowledge of ITSM/incident management tools integration. Interacts with and influences colleagues and has working level contact with customers Applies methodical approach to issue definition and resolution Demonstrates effective application of knowledge Takes action to develop their own knowledge and represents this in their work Communicates fluently, orally and in writing, and can present information to both technical and non-technical audiences. Accreditations: Dynatrace Associate & Pro Certifications Microsoft Certified: Security Operations Analyst Associate Splunk Core Certified Power User Desirable Skills: Cloud platforms experience Experience in a DevOps or Site Reliability Engineering role Container native technologies and ecosystem experience The ability to learn new technologies and adapt to changing business needs. Automation and DevOps practices Knowledge of tools like Terraform to automate infrastructure provisioning Building continuous integration and continuous deployment (CI/CD) pipelines for data engineering applications Using Docker and Kubernetes for packaging and deploying data engineering workloads Key Requirements: Candidates must be SC cleared How to Apply: If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Talent Solutions is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Senior AI Engineer Salary 75000 - 85000 Location: London Nw10 (Hybrid/Flexible 3 days on site) Type: Full-time ITH Systems, an ITH Group company, are looking for a Senior AI Engineer to join our growing development team at an exciting stage of our technology transformation. This is a high-impact role where you'll help shape how AI is designed, built, and deployed across the organisation. You'll work at the intersection of machine learning, software engineering, and real-world business challenges-developing intelligent, scalable solutions that drive efficiency and innovation across our operations. Working closely with enterprise architecture and technical leadership, you'll act as a key voice in Responsible AI, ensuring solutions are secure, scalable, and aligned with best practice. What You'll Be Doing Design, build, and deploy AI-driven solutions that automate processes and reduce manual effort Collaborate with Development, QA, and IT teams to deliver impactful solutions Identify opportunities to apply AI across the business and turn them into tangible outcomes Develop both rapid prototypes and production-ready systems Establish guardrails and best practices for Responsible AI usage Document system architectures to meet engineering and audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab CI Hands-on experience with Docker and Kubernetes Experience with Infrastructure as Code (Terraform preferred) Strong Linux/server administration skill Proficiency in Python, TypeScript, or Bash scripting Excellent problem-solving and stakeholder collaboration skills Understanding of Responsible AI principles Nice to Have AWS cloud expertise Experience with microservices or serverless architectures Familiarity with Node.js, Angular, and JVM environments Python for data processing or model evaluation Why Join Us? We offer a competitive salary between 75- 85K plus benefits including healthcare cash plan scheme, on site Medical Centre, subsidised canteen facilities, company events, pension. This role is based at our modern group head office in North West London, You will play a key role in shaping AI strategy and adoption across a forward-thinking organisation. Work on meaningful problems with real business impact in a collaborative and supportive environment, with ongoing investment in your growth and development. Our group companies span Pharmaceutical, Healthcare, Pharmacy and Laboratories.
Jun 14, 2026
Full time
Senior AI Engineer Salary 75000 - 85000 Location: London Nw10 (Hybrid/Flexible 3 days on site) Type: Full-time ITH Systems, an ITH Group company, are looking for a Senior AI Engineer to join our growing development team at an exciting stage of our technology transformation. This is a high-impact role where you'll help shape how AI is designed, built, and deployed across the organisation. You'll work at the intersection of machine learning, software engineering, and real-world business challenges-developing intelligent, scalable solutions that drive efficiency and innovation across our operations. Working closely with enterprise architecture and technical leadership, you'll act as a key voice in Responsible AI, ensuring solutions are secure, scalable, and aligned with best practice. What You'll Be Doing Design, build, and deploy AI-driven solutions that automate processes and reduce manual effort Collaborate with Development, QA, and IT teams to deliver impactful solutions Identify opportunities to apply AI across the business and turn them into tangible outcomes Develop both rapid prototypes and production-ready systems Establish guardrails and best practices for Responsible AI usage Document system architectures to meet engineering and audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab CI Hands-on experience with Docker and Kubernetes Experience with Infrastructure as Code (Terraform preferred) Strong Linux/server administration skill Proficiency in Python, TypeScript, or Bash scripting Excellent problem-solving and stakeholder collaboration skills Understanding of Responsible AI principles Nice to Have AWS cloud expertise Experience with microservices or serverless architectures Familiarity with Node.js, Angular, and JVM environments Python for data processing or model evaluation Why Join Us? We offer a competitive salary between 75- 85K plus benefits including healthcare cash plan scheme, on site Medical Centre, subsidised canteen facilities, company events, pension. This role is based at our modern group head office in North West London, You will play a key role in shaping AI strategy and adoption across a forward-thinking organisation. Work on meaningful problems with real business impact in a collaborative and supportive environment, with ongoing investment in your growth and development. Our group companies span Pharmaceutical, Healthcare, Pharmacy and Laboratories.
We are seeking a Lead AI Red Teaming & QA Engineer to design and execute automated adversarial testing for our enterprise Agentic AI platforms. You will move beyond traditional software QA to build continuous safety pipelines, ensuring our non-deterministic LLM agents, RAG systems, and tool integrations are secure, resilient, and compliant before production release. Key Responsibilities Automated Adversarial Testing: Build and integrate automated red teaming suites into CI/CD pipelines using frameworks like Garak , Pyrit , and AgentDojo to enforce strict safety release gates. AI Evaluation Frameworks: Develop metrics and continuous testing for core AI risks, including hallucinations, memorisation, algorithmic bias, uncertainty, and model drift . Regulatory Compliance Evidence: Map threat models (OWASP LLM Top 10, Agentic threats) to automated test cases. Produce the technical testing evidence required by EU AI Act Article 15 , DORA , and FCA Operational Resilience guidelines. Centralised AI-BOM Platform: Own the enterprise AI Bill of Materials (AI-BOM) , tracking model lineages, dataset versions, and signed artifacts as a centralized evaluation service. Required Technical Skills Regulated Finance: Proven experience testing software within FCA, DORA, or EU AI Act frameworks. AWS Bedrock Ecosystem: Hands-on experience configuring, testing, and bypassing Bedrock Guardrails, Agents, and Knowledge Bases (RAG) . AI Security & Fundamentals: Solid understanding of Foundation Models, tool use (function calling), OWASP LLM Top 10 , and NIST AI RMF . Automation Stack: Strong Python development skills, experience with AI eval tools (Garak, Pyrit, Ragas), and building complex CI/CD test pipelines. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Jun 14, 2026
Contractor
We are seeking a Lead AI Red Teaming & QA Engineer to design and execute automated adversarial testing for our enterprise Agentic AI platforms. You will move beyond traditional software QA to build continuous safety pipelines, ensuring our non-deterministic LLM agents, RAG systems, and tool integrations are secure, resilient, and compliant before production release. Key Responsibilities Automated Adversarial Testing: Build and integrate automated red teaming suites into CI/CD pipelines using frameworks like Garak , Pyrit , and AgentDojo to enforce strict safety release gates. AI Evaluation Frameworks: Develop metrics and continuous testing for core AI risks, including hallucinations, memorisation, algorithmic bias, uncertainty, and model drift . Regulatory Compliance Evidence: Map threat models (OWASP LLM Top 10, Agentic threats) to automated test cases. Produce the technical testing evidence required by EU AI Act Article 15 , DORA , and FCA Operational Resilience guidelines. Centralised AI-BOM Platform: Own the enterprise AI Bill of Materials (AI-BOM) , tracking model lineages, dataset versions, and signed artifacts as a centralized evaluation service. Required Technical Skills Regulated Finance: Proven experience testing software within FCA, DORA, or EU AI Act frameworks. AWS Bedrock Ecosystem: Hands-on experience configuring, testing, and bypassing Bedrock Guardrails, Agents, and Knowledge Bases (RAG) . AI Security & Fundamentals: Solid understanding of Foundation Models, tool use (function calling), OWASP LLM Top 10 , and NIST AI RMF . Automation Stack: Strong Python development skills, experience with AI eval tools (Garak, Pyrit, Ragas), and building complex CI/CD test pipelines. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Platform Engineer (AWS / Databricks) London (Hybrid) 6 Month Contract £600/day (Inside IR35) Platform Engineer needed with strong AWS, Databricks and Unity Catalog experience. Start ASAP in May/June 2026. 6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office. Hybrid Working - 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Supporting secure integration between AWS hosted data sources, Databricks workspaces and downstream enterprise data platforms. Design and support secure integration across AWS S3, Databricks and downstream data platforms. Strong hands-on experience with AWS IAM, S3, KMS and secure cloud access patterns. Hands-on Databricks on AWS experience, including Hive Metastore, Delta tables, SQL Warehouse and workspace access controls. Practical Unity Catalog experience, including grants, external locations, storage credentials and governed data access. Scope includes data held in S3, registered through Databricks Hive Metastore, governed or exposed through Unity Catalog, and consumed through approved connector-based patterns. Configure least-privilege access to S3 using IAM roles, bucket policies, KMS permissions and approved access controls. Support Databricks access patterns where S3-backed data is registered through Hive Metastore and exposed or migrated into Unity Catalog. Configure and validate Unity Catalog objects, including catalogs, schemas, tables, views, grants, storage credentials and external locations. Support downstream connectivity to Databricks using SQL Warehouse, tables, views or connector-based integration patterns. Develop Terraform/IaC for AWS IAM, S3, KMS and Databricks-related configuration. Troubleshoot access, metadata, schema, query and connectivity issues across AWS, Databricks and downstream integrations. Technical Environment: AWS, Databricks, Unity Catalog, Palantir Foundry, Terraform, IaC, Delta, Parquet, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions.
Jun 14, 2026
Contractor
Platform Engineer (AWS / Databricks) London (Hybrid) 6 Month Contract £600/day (Inside IR35) Platform Engineer needed with strong AWS, Databricks and Unity Catalog experience. Start ASAP in May/June 2026. 6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office. Hybrid Working - 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Supporting secure integration between AWS hosted data sources, Databricks workspaces and downstream enterprise data platforms. Design and support secure integration across AWS S3, Databricks and downstream data platforms. Strong hands-on experience with AWS IAM, S3, KMS and secure cloud access patterns. Hands-on Databricks on AWS experience, including Hive Metastore, Delta tables, SQL Warehouse and workspace access controls. Practical Unity Catalog experience, including grants, external locations, storage credentials and governed data access. Scope includes data held in S3, registered through Databricks Hive Metastore, governed or exposed through Unity Catalog, and consumed through approved connector-based patterns. Configure least-privilege access to S3 using IAM roles, bucket policies, KMS permissions and approved access controls. Support Databricks access patterns where S3-backed data is registered through Hive Metastore and exposed or migrated into Unity Catalog. Configure and validate Unity Catalog objects, including catalogs, schemas, tables, views, grants, storage credentials and external locations. Support downstream connectivity to Databricks using SQL Warehouse, tables, views or connector-based integration patterns. Develop Terraform/IaC for AWS IAM, S3, KMS and Databricks-related configuration. Troubleshoot access, metadata, schema, query and connectivity issues across AWS, Databricks and downstream integrations. Technical Environment: AWS, Databricks, Unity Catalog, Palantir Foundry, Terraform, IaC, Delta, Parquet, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions.
Platform Engineer (Palantir Foundry) London (Hybrid) 6 Month Contract £600/day (Inside IR35) Platform Engineer needed with strong Palantir Foundry and Databricks on AWS. Start ASAP in May/June 2026. 6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office. Hybrid Working - 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Configure + support secure integration between Palantir Foundry and Databricks on AWS. Scope includes data held in S3, registered through Databricks Hive Metastore, governed or exposed through Unity Catalog, and consumed by Foundry using the Databricks connector or approved ingestion patterns. Hands-on Palantir Foundry experience, including connectors, Data Connection, datasets, syncs, projects and permissions. Experience configuring or supporting the Palantir Foundry Databricks connectors. Strong Databricks on AWS experience, including SQL Warehouse, clusters, tables, views and access controls. Good understanding of Hive Metastore and Unity Catalog, including catalogs, schemas, grants, storage credentials and external locations. Strong AWS IAM, S3, KMS, bucket policy and cross-account access experience. Set up and validate the Foundry Databricks connector for approved SQL Warehouses, tables, views and Unity Catalog-governed objects. Support end-to-end access from AWS S3 sources through Hive Metastore and Unity Catalog into Foundry datasets or products. Configure Foundry Data Connection, datasets, syncs, projects, permissions and lineage as required. Work with AWS teams to define IAM roles, S3 bucket policies, KMS permissions and approved cross account access patterns. Troubleshoot Foundry connector failures, Databricks authentication issues, Unity Catalog grants, schema mismatches and query failures. Technical Environment : Palantir Foundry, Foundry Virtual Tables, Ontology, Workshop, Pipeline Builder, Code Repositories, AWS, Databricks, Terraform, IaC, Delta Lake, Parquet, Iceberg, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions.
Jun 14, 2026
Contractor
Platform Engineer (Palantir Foundry) London (Hybrid) 6 Month Contract £600/day (Inside IR35) Platform Engineer needed with strong Palantir Foundry and Databricks on AWS. Start ASAP in May/June 2026. 6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office. Hybrid Working - 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Configure + support secure integration between Palantir Foundry and Databricks on AWS. Scope includes data held in S3, registered through Databricks Hive Metastore, governed or exposed through Unity Catalog, and consumed by Foundry using the Databricks connector or approved ingestion patterns. Hands-on Palantir Foundry experience, including connectors, Data Connection, datasets, syncs, projects and permissions. Experience configuring or supporting the Palantir Foundry Databricks connectors. Strong Databricks on AWS experience, including SQL Warehouse, clusters, tables, views and access controls. Good understanding of Hive Metastore and Unity Catalog, including catalogs, schemas, grants, storage credentials and external locations. Strong AWS IAM, S3, KMS, bucket policy and cross-account access experience. Set up and validate the Foundry Databricks connector for approved SQL Warehouses, tables, views and Unity Catalog-governed objects. Support end-to-end access from AWS S3 sources through Hive Metastore and Unity Catalog into Foundry datasets or products. Configure Foundry Data Connection, datasets, syncs, projects, permissions and lineage as required. Work with AWS teams to define IAM roles, S3 bucket policies, KMS permissions and approved cross account access patterns. Troubleshoot Foundry connector failures, Databricks authentication issues, Unity Catalog grants, schema mismatches and query failures. Technical Environment : Palantir Foundry, Foundry Virtual Tables, Ontology, Workshop, Pipeline Builder, Code Repositories, AWS, Databricks, Terraform, IaC, Delta Lake, Parquet, Iceberg, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions.
Job Title: Technical Delivery Lead - Data Engineering Lead (Hands-on Python / Databricks) Contract: 6 months - Potentially extension. Location: London Hybrid (5 days in 10 in the office) Rate: Highly competitive Status: Inside IR35 Working pattern: Full time We are seeking an experienced Technical Delivery Lead with strong expertise in Python, Databricks, and Apache Spark to lead the successful delivery of enterprise-scale data engineering initiatives This is a hands-on leadership role combining technical delivery, solution design, and data engineering expertise. The successful candidate will lead the delivery of a greenfield data platform while remaining actively involved in development activities. Essential Skills Proven experience in Data Engineering or Software Engineering. Previous experience in a Technical Lead, Lead Data Engineer, or Technical Delivery Lead position. Strong hands-on expertise with Python. Extensive experience with Databricks, including Workflows, Notebooks, and Delta Lake. Strong experience with Apache Spark /PySpark. Proven track record building and optimising large-scale ETL/ELT pipelines. Strong understanding of modern data architecture and Lakehouse principles. Excellent SQL skills and experience working with distributed data systems. Experience working with cloud platforms such as AWS, Azure, or GCP. Strong Agile delivery experience. Experience leading technical teams and delivering complex projects. Expected split: 30-50% hands-on coding + technical problem-solving Key Responsibilities Lead end-to-end delivery of data engineering solutions. Design and build scalable data pipelines using Databricks and Azure. Develop and optimise solutions using Python and PySpark. Drive engineering best practices, code reviews, and technical standards. Work closely with architecture, business, and technology stakeholders. Mentor and support engineers within the team. Contribute to data platform and Lakehouse architecture decisions. What We're Looking For Approximately 60% hands-on engineering and 40% technical leadership. Proven experience leading data engineering teams. Strong stakeholder management and communication skills. Experience delivering greenfield data platform initiatives. This is an excellent opportunity to join a high-profile programme with significant scope for extension and future team growth. Why Join Us? Work on innovative projects that make a difference in the financial sector. Collaborate with a talented team in a vibrant environment. Enjoy a competitive daily rate and flexible working arrangements. If you are ready to take your career to the next level and contribute to exciting projects, apply now! We can't wait to meet you! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Jun 13, 2026
Contractor
Job Title: Technical Delivery Lead - Data Engineering Lead (Hands-on Python / Databricks) Contract: 6 months - Potentially extension. Location: London Hybrid (5 days in 10 in the office) Rate: Highly competitive Status: Inside IR35 Working pattern: Full time We are seeking an experienced Technical Delivery Lead with strong expertise in Python, Databricks, and Apache Spark to lead the successful delivery of enterprise-scale data engineering initiatives This is a hands-on leadership role combining technical delivery, solution design, and data engineering expertise. The successful candidate will lead the delivery of a greenfield data platform while remaining actively involved in development activities. Essential Skills Proven experience in Data Engineering or Software Engineering. Previous experience in a Technical Lead, Lead Data Engineer, or Technical Delivery Lead position. Strong hands-on expertise with Python. Extensive experience with Databricks, including Workflows, Notebooks, and Delta Lake. Strong experience with Apache Spark /PySpark. Proven track record building and optimising large-scale ETL/ELT pipelines. Strong understanding of modern data architecture and Lakehouse principles. Excellent SQL skills and experience working with distributed data systems. Experience working with cloud platforms such as AWS, Azure, or GCP. Strong Agile delivery experience. Experience leading technical teams and delivering complex projects. Expected split: 30-50% hands-on coding + technical problem-solving Key Responsibilities Lead end-to-end delivery of data engineering solutions. Design and build scalable data pipelines using Databricks and Azure. Develop and optimise solutions using Python and PySpark. Drive engineering best practices, code reviews, and technical standards. Work closely with architecture, business, and technology stakeholders. Mentor and support engineers within the team. Contribute to data platform and Lakehouse architecture decisions. What We're Looking For Approximately 60% hands-on engineering and 40% technical leadership. Proven experience leading data engineering teams. Strong stakeholder management and communication skills. Experience delivering greenfield data platform initiatives. This is an excellent opportunity to join a high-profile programme with significant scope for extension and future team growth. Why Join Us? Work on innovative projects that make a difference in the financial sector. Collaborate with a talented team in a vibrant environment. Enjoy a competitive daily rate and flexible working arrangements. If you are ready to take your career to the next level and contribute to exciting projects, apply now! We can't wait to meet you! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 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)
Jun 13, 2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 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)
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)
Jun 13, 2026
Seasonal
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)
Order Ref: (phone number removed) Position Title: Platform Development Engineer Duration: Contract Location: Manchester Knowledge, Skills and Experience Essential: 4+ years' experience in Unix OS and ideally recent experience in container orchestration (Docker, Kubernetes, etc) and a scripting language (e.g. Python, Bash) 4+ years' experience of at least one major cloud provider (GCP, AWS, Azure) and Kubernetes experience Strong experience of Site Reliability Engineering practices and principles Strong experience in operational monitoring and dash-boarding for applications (ELK, SonarQube, Prometheus, Grafana) Experience with containers and orchestration frameworks (Docker, k8s) Experience with source code management and version control (Git/GitHub/GitLab) Experience with modern CI/CD tools and techniques Previous involvement in all stages of the software delivery lifecycle Passion for mentoring and technical coaching of engineers Excellent verbal and written communication skills Collaborative skills - being open to pair programming and working closely with engineers in cross functional teams Infrastructure provisioning tools e.g. Terraform, Ansible Good automation skills, including experience with unit testing and automated testing tools Experience of operating enterprise scale production systems alongside monitoring and telemetry practices (SonarQube, Prometheus, Grafana) Solid understanding of networking concepts, technologies, and protocols (TCP/IP, IPSec, HTTP, FTP, DHCP, and DNS) Desirable: Experience of Software Engineering with Go, Java, JavaScript or another language Knowledge of Microservices architectures, RESTful APIs and message queues Experience operating bespoke built enterprise scale cloud-native microservice applications Experience with database technologies such as MySQL or NoSQL technologies (e.g. MongoDB) Why work through Contechs? Contechs is a leading Automotive, Design, Engineering, Technology and Innovation Recruitment Consultancy. Founded in 1997, with an inhouse Contractor Care Team to support all external employees, acts as an employment agency for permanent and contract recruitment. How to Apply If you're interested in applying for this position, submit your application and one of our recruiters will be in touch. If you know anyone that is suitable for the role, please visit the below page where we offer up to 600 referral fee: (url removed)>
Jun 13, 2026
Contractor
Order Ref: (phone number removed) Position Title: Platform Development Engineer Duration: Contract Location: Manchester Knowledge, Skills and Experience Essential: 4+ years' experience in Unix OS and ideally recent experience in container orchestration (Docker, Kubernetes, etc) and a scripting language (e.g. Python, Bash) 4+ years' experience of at least one major cloud provider (GCP, AWS, Azure) and Kubernetes experience Strong experience of Site Reliability Engineering practices and principles Strong experience in operational monitoring and dash-boarding for applications (ELK, SonarQube, Prometheus, Grafana) Experience with containers and orchestration frameworks (Docker, k8s) Experience with source code management and version control (Git/GitHub/GitLab) Experience with modern CI/CD tools and techniques Previous involvement in all stages of the software delivery lifecycle Passion for mentoring and technical coaching of engineers Excellent verbal and written communication skills Collaborative skills - being open to pair programming and working closely with engineers in cross functional teams Infrastructure provisioning tools e.g. Terraform, Ansible Good automation skills, including experience with unit testing and automated testing tools Experience of operating enterprise scale production systems alongside monitoring and telemetry practices (SonarQube, Prometheus, Grafana) Solid understanding of networking concepts, technologies, and protocols (TCP/IP, IPSec, HTTP, FTP, DHCP, and DNS) Desirable: Experience of Software Engineering with Go, Java, JavaScript or another language Knowledge of Microservices architectures, RESTful APIs and message queues Experience operating bespoke built enterprise scale cloud-native microservice applications Experience with database technologies such as MySQL or NoSQL technologies (e.g. MongoDB) Why work through Contechs? Contechs is a leading Automotive, Design, Engineering, Technology and Innovation Recruitment Consultancy. Founded in 1997, with an inhouse Contractor Care Team to support all external employees, acts as an employment agency for permanent and contract recruitment. How to Apply If you're interested in applying for this position, submit your application and one of our recruiters will be in touch. If you know anyone that is suitable for the role, please visit the below page where we offer up to 600 referral fee: (url removed)>
Location: Birmingham (Hybrid 3 days onsite) Salary: £45,000 - £50,000 + Excellent Benefits Contract Type: Permanent The Role SOC Engineer - Cyber We re looking for a hands-on SOC Engineer to join a rapidly growing Cyber Security function within a large enterprise technology environment. This is an opportunity to work in one of the most modern and well-equipped SOC environments in the market, supporting enterprise customers across a broad range of managed security services and cloud technologies. This is a genuinely engineering-led role rather than a traditional SOC analyst position. You ll be heavily involved in infrastructure, cloud security, security tooling, automation, and operational cyber engineering across enterprise-scale environments. Working from a Birmingham-based SOC three days a week, you ll play a key role in supporting customer environments, improving cyber capabilities, and helping showcase a cutting-edge SOC environment to visiting customers and stakeholders. What s in it for you as our Cyber SOC Engineer? Salary of £45,000 - £50,000 Hybrid working environment Excellent company benefits package Flexible benefits scheme Access to industry-leading SOC technology and tooling Dedicated training and development time each week Fully funded learning opportunities and partner-led certifications Opportunities to attend conferences and industry events Career progression within a large enterprise technology organisation Exposure to enterprise-scale cloud and cyber environments Supportive, collaborative, and highly technical team environment Duties as SOC Engineer - Cyber As a Cyber SOC Engineer, you will: Act as a technical escalation point and engineering SME across SOC technologies including SIEM, MDR/XDR, EDR, vulnerability management, and cloud security tooling Support, maintain, and improve cyber security infrastructure across enterprise customer environments Work closely with internal teams and customers to onboard, configure, and optimise security technologies and services Investigate and resolve platform issues, security alerts, log source health problems, and tooling-related incidents Configure and support technologies such as Microsoft Defender, Sentinel, CrowdStrike, Tenable, and related security platforms Assist with vulnerability scanning, remediation support, and operational security improvements Contribute to automation and scripting initiatives using tools such as KQL, PowerShell, Python, or Bash Produce and maintain technical documentation, operational runbooks, and security playbooks Support governance and compliance activities aligned to standards such as ISO27001, GDPR, and NCSC guidance Work collaboratively across infrastructure, cloud, networking, and cyber teams to improve service delivery and operational resilience Stay up to date with emerging cyber threats, technologies, and security best practice Contribute to continual improvement initiatives across the SOC function Who are we looking for as our Cyber SOC Engineer? We re looking for a technically capable and proactive engineer who enjoys solving problems, learning new technologies, and working collaboratively in a fast-paced environment. This role would suit someone from a SOC Engineering, Cloud Security, Infrastructure Security, or Cyber Engineering background who enjoys hands-on technical work rather than purely monitoring or analyst-based responsibilities. You ll ideally have experience with: Microsoft Sentinel and Microsoft Defender EDR/XDR/MDR technologies Vulnerability management tools such as Tenable or Qualys Azure, Microsoft 365, Intune, or AWS environments Security tooling, infrastructure, and cloud platforms Linux and Windows operating systems SIEM technologies and security monitoring Basic scripting or automation using KQL, PowerShell, Python, or Bash ITIL environments and structured change control processes Firewall, endpoint, or cloud security technologies We d especially like to hear from candidates who are: Strong communicators who can work confidently with both technical and non-technical stakeholders Organised, collaborative, and eager to learn Comfortable working in a customer-facing environment Self-driven and proactive in solving problems Able to take ownership while also working well within a team Interested in developing their cyber engineering and cloud security expertise further Relevant certifications such as SC-200, SC-900, AZ-500, CISSP, or similar would be advantageous, but practical engineering experience is equally important. Please note: Candidates must be eligible for UK Security Clearance (SC/BPSS), including having the right to work in the UK and meeting residency requirements. INDHS
Jun 13, 2026
Full time
Location: Birmingham (Hybrid 3 days onsite) Salary: £45,000 - £50,000 + Excellent Benefits Contract Type: Permanent The Role SOC Engineer - Cyber We re looking for a hands-on SOC Engineer to join a rapidly growing Cyber Security function within a large enterprise technology environment. This is an opportunity to work in one of the most modern and well-equipped SOC environments in the market, supporting enterprise customers across a broad range of managed security services and cloud technologies. This is a genuinely engineering-led role rather than a traditional SOC analyst position. You ll be heavily involved in infrastructure, cloud security, security tooling, automation, and operational cyber engineering across enterprise-scale environments. Working from a Birmingham-based SOC three days a week, you ll play a key role in supporting customer environments, improving cyber capabilities, and helping showcase a cutting-edge SOC environment to visiting customers and stakeholders. What s in it for you as our Cyber SOC Engineer? Salary of £45,000 - £50,000 Hybrid working environment Excellent company benefits package Flexible benefits scheme Access to industry-leading SOC technology and tooling Dedicated training and development time each week Fully funded learning opportunities and partner-led certifications Opportunities to attend conferences and industry events Career progression within a large enterprise technology organisation Exposure to enterprise-scale cloud and cyber environments Supportive, collaborative, and highly technical team environment Duties as SOC Engineer - Cyber As a Cyber SOC Engineer, you will: Act as a technical escalation point and engineering SME across SOC technologies including SIEM, MDR/XDR, EDR, vulnerability management, and cloud security tooling Support, maintain, and improve cyber security infrastructure across enterprise customer environments Work closely with internal teams and customers to onboard, configure, and optimise security technologies and services Investigate and resolve platform issues, security alerts, log source health problems, and tooling-related incidents Configure and support technologies such as Microsoft Defender, Sentinel, CrowdStrike, Tenable, and related security platforms Assist with vulnerability scanning, remediation support, and operational security improvements Contribute to automation and scripting initiatives using tools such as KQL, PowerShell, Python, or Bash Produce and maintain technical documentation, operational runbooks, and security playbooks Support governance and compliance activities aligned to standards such as ISO27001, GDPR, and NCSC guidance Work collaboratively across infrastructure, cloud, networking, and cyber teams to improve service delivery and operational resilience Stay up to date with emerging cyber threats, technologies, and security best practice Contribute to continual improvement initiatives across the SOC function Who are we looking for as our Cyber SOC Engineer? We re looking for a technically capable and proactive engineer who enjoys solving problems, learning new technologies, and working collaboratively in a fast-paced environment. This role would suit someone from a SOC Engineering, Cloud Security, Infrastructure Security, or Cyber Engineering background who enjoys hands-on technical work rather than purely monitoring or analyst-based responsibilities. You ll ideally have experience with: Microsoft Sentinel and Microsoft Defender EDR/XDR/MDR technologies Vulnerability management tools such as Tenable or Qualys Azure, Microsoft 365, Intune, or AWS environments Security tooling, infrastructure, and cloud platforms Linux and Windows operating systems SIEM technologies and security monitoring Basic scripting or automation using KQL, PowerShell, Python, or Bash ITIL environments and structured change control processes Firewall, endpoint, or cloud security technologies We d especially like to hear from candidates who are: Strong communicators who can work confidently with both technical and non-technical stakeholders Organised, collaborative, and eager to learn Comfortable working in a customer-facing environment Self-driven and proactive in solving problems Able to take ownership while also working well within a team Interested in developing their cyber engineering and cloud security expertise further Relevant certifications such as SC-200, SC-900, AZ-500, CISSP, or similar would be advantageous, but practical engineering experience is equally important. Please note: Candidates must be eligible for UK Security Clearance (SC/BPSS), including having the right to work in the UK and meeting residency requirements. INDHS
Software Developer - SC cleared Permanent Hybrid (willing to travel to Newcastle) Python AI BPSS We are looking for Software Developers with strong Python and AI experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows. You will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service. This work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options. This is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops. Responsibilities: Engineers will contribute to research and development across: Workflow orchestration and process design Web portal options and user interaction patterns Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services Active BPSS, SC clearance or eligible for clearance Desirable skills: Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention domains Experience working within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that s focused on growth, both yours, our clients , and the sectors we support. You ll also get access to a full range of benefits alongside your salary. How Specialist Talent Works As a permanent employee at Peregrine, you ll be part of our Specialist Talent team. That means you ll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation. You ll get the variety and challenge of consultancy work, with the stability and support of a permanent role. You re not a contractor - you re a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing
Jun 13, 2026
Full time
Software Developer - SC cleared Permanent Hybrid (willing to travel to Newcastle) Python AI BPSS We are looking for Software Developers with strong Python and AI experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows. You will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service. This work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options. This is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops. Responsibilities: Engineers will contribute to research and development across: Workflow orchestration and process design Web portal options and user interaction patterns Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services Active BPSS, SC clearance or eligible for clearance Desirable skills: Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention domains Experience working within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that s focused on growth, both yours, our clients , and the sectors we support. You ll also get access to a full range of benefits alongside your salary. How Specialist Talent Works As a permanent employee at Peregrine, you ll be part of our Specialist Talent team. That means you ll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation. You ll get the variety and challenge of consultancy work, with the stability and support of a permanent role. You re not a contractor - you re a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing
AWS Technical Architect +6 months + +Fully remote +SC cleared role - current active clearance is essential As an AWS Technical Architect, you'll take high-level customer requirements and turn them into practical, secure, and production-ready AWS solutions. You'll work closely with CloudOps, DevOps, engineering teams, and customer stakeholders to design cloud platforms that are scalable, resilient, secure, and cost-effective. This is a hands-on role but also highly collaborative and strategic - ideal for someone who enjoys solving complex technical problems while guiding teams and influencing architecture decisions. Solution Design: Architecting cloud solutions on AWS according to business requirements, covering infrastructure design, application architecture, security, and integration patterns. DevOps Automation and IaC: Champion an automation-first mindset, ensuring all scalable architectures are driven by Terraform Infrastructure as Code (IaC) and modern automation tools. Cloud Migration: Assisting in migrating on-premises infrastructure and applications to AWS cloud with minimal disruption and optimal performance. Security and Compliance: Implementing security best practices and compliance standards within AWS environments, including identity and access management, encryption, and network security. Network Architecture: Establish central AWS transit and network infrastructure, acting as the core gateway for all inter-account communication and outbound traffic to external services. Cost Optimization: Designing cost-effective solutions by selecting appropriate AWS services and implementing cost management strategies. High Availability and Disaster Recovery: Designing architectures for high availability and disaster recovery using AWS services. Performance Optimization : Tuning configurations and leveraging AWS services for optimal performance of applications and infrastructure. Monitoring and Logging: Implementing monitoring, logging, and alerting solutions using AWS CloudWatch and CloudTrail to ensure the health, performance, and security of AWS environments. Technical Leadership and Collaboration: Providing leadership, guidance, and mentorship to team members, collaborating with cross-functional teams. Continuous Learning and Innovation: Staying updated with the latest AWS services and best practices, driving innovation for improved efficiency and reliability of AWS solutions. Experience required: Proven track record as an AWS Technical Architect Hands-on experience across AWS/public cloud environments Strong practical AWS knowledge across infrastructure, networking, security, and cloud operations Experience working closely with DevOps and CloudOps teams Proficiency in deploying Landing Zone, particularly Secure Landing Zone/PALZ and expertise in Control Tower and AWS Organizations. Practical experience in designing and implementing Continuous Integration and Deployment utilizing tools like GitHub Actions. Expertise in managing and maintaining secure AWS cloud environments and various AWS security services. Experience with authentication and authorization protocols such as OAUTH2, SAML2.0, and OIDC. Proficiency in designing and implementing cloud-native solutions, including serverless applications, containerised applications, CI/CD pipelines, Network Infrastructures like Transit Gateway and Direct Connect, Identity and Access Management, and programmable infrastructure. Knowledge and experience in infrastructure as code solutions using tools like Terraform, GitHub Actions, Python, Bash or PowerShell. Experience with network concepts such as VPC, Transit Gateways, Gateway Load Balancers, AWS Private Link, Endpoint Services, Route 53, IPAM, CIDR management, and hybrid networks. Proficiency in tools like Git/GitHub, Confluence, Jira, and ServiceNow. If you'd like to discuss the AWS Technical Architect role in more detail, please send your updated CV to (url removed) and I will get in touch.
Jun 13, 2026
Contractor
AWS Technical Architect +6 months + +Fully remote +SC cleared role - current active clearance is essential As an AWS Technical Architect, you'll take high-level customer requirements and turn them into practical, secure, and production-ready AWS solutions. You'll work closely with CloudOps, DevOps, engineering teams, and customer stakeholders to design cloud platforms that are scalable, resilient, secure, and cost-effective. This is a hands-on role but also highly collaborative and strategic - ideal for someone who enjoys solving complex technical problems while guiding teams and influencing architecture decisions. Solution Design: Architecting cloud solutions on AWS according to business requirements, covering infrastructure design, application architecture, security, and integration patterns. DevOps Automation and IaC: Champion an automation-first mindset, ensuring all scalable architectures are driven by Terraform Infrastructure as Code (IaC) and modern automation tools. Cloud Migration: Assisting in migrating on-premises infrastructure and applications to AWS cloud with minimal disruption and optimal performance. Security and Compliance: Implementing security best practices and compliance standards within AWS environments, including identity and access management, encryption, and network security. Network Architecture: Establish central AWS transit and network infrastructure, acting as the core gateway for all inter-account communication and outbound traffic to external services. Cost Optimization: Designing cost-effective solutions by selecting appropriate AWS services and implementing cost management strategies. High Availability and Disaster Recovery: Designing architectures for high availability and disaster recovery using AWS services. Performance Optimization : Tuning configurations and leveraging AWS services for optimal performance of applications and infrastructure. Monitoring and Logging: Implementing monitoring, logging, and alerting solutions using AWS CloudWatch and CloudTrail to ensure the health, performance, and security of AWS environments. Technical Leadership and Collaboration: Providing leadership, guidance, and mentorship to team members, collaborating with cross-functional teams. Continuous Learning and Innovation: Staying updated with the latest AWS services and best practices, driving innovation for improved efficiency and reliability of AWS solutions. Experience required: Proven track record as an AWS Technical Architect Hands-on experience across AWS/public cloud environments Strong practical AWS knowledge across infrastructure, networking, security, and cloud operations Experience working closely with DevOps and CloudOps teams Proficiency in deploying Landing Zone, particularly Secure Landing Zone/PALZ and expertise in Control Tower and AWS Organizations. Practical experience in designing and implementing Continuous Integration and Deployment utilizing tools like GitHub Actions. Expertise in managing and maintaining secure AWS cloud environments and various AWS security services. Experience with authentication and authorization protocols such as OAUTH2, SAML2.0, and OIDC. Proficiency in designing and implementing cloud-native solutions, including serverless applications, containerised applications, CI/CD pipelines, Network Infrastructures like Transit Gateway and Direct Connect, Identity and Access Management, and programmable infrastructure. Knowledge and experience in infrastructure as code solutions using tools like Terraform, GitHub Actions, Python, Bash or PowerShell. Experience with network concepts such as VPC, Transit Gateways, Gateway Load Balancers, AWS Private Link, Endpoint Services, Route 53, IPAM, CIDR management, and hybrid networks. Proficiency in tools like Git/GitHub, Confluence, Jira, and ServiceNow. If you'd like to discuss the AWS Technical Architect role in more detail, please send your updated CV to (url removed) and I will get in touch.
AI Models Lead Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles Paying up to 120,000 + bonus + bens Permanent Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments. What You'll Be Doing Designing and leading the end-to-end model fine-tuning strategy, including SFT, LoRA / QLoRA, and optimisation approaches Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models to support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine learning / LLM models in production environments Strong track record of deploying AI models at scale and understanding real-world failure modes Hands-on experience with Generative AI / LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (e.g. HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with leadership Pragmatic mindset, comfortable working in ambiguous, evolving environments Excellent communication skills, with the ability to engage senior stakeholders and influence direction Why Join Opportunity to build and shape a core AI capability from the ground up Work on real-world AI use cases where accuracy and trust genuinely matter Highly visible role with direct exposure to senior leadership and strategic initiatives Join a business making significant long-term investment in AI-driven innovation If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Jun 13, 2026
Full time
AI Models Lead Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles Paying up to 120,000 + bonus + bens Permanent Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments. What You'll Be Doing Designing and leading the end-to-end model fine-tuning strategy, including SFT, LoRA / QLoRA, and optimisation approaches Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models to support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine learning / LLM models in production environments Strong track record of deploying AI models at scale and understanding real-world failure modes Hands-on experience with Generative AI / LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (e.g. HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with leadership Pragmatic mindset, comfortable working in ambiguous, evolving environments Excellent communication skills, with the ability to engage senior stakeholders and influence direction Why Join Opportunity to build and shape a core AI capability from the ground up Work on real-world AI use cases where accuracy and trust genuinely matter Highly visible role with direct exposure to senior leadership and strategic initiatives Join a business making significant long-term investment in AI-driven innovation If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Lead AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.
Jun 13, 2026
Full time
Lead AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.
Engineering Manager £100K Adria Solutions has an exciting opportunity for an experienced Engineering Manager to join our growing client. This role is ideal for a hands-on technology leader who enjoys building high-performing engineering teams while driving the delivery of scalable, high-quality software solutions within a fast-paced Agile environment. As Engineering Manager, you will combine strong technical expertise with people leadership, mentoring, and delivery management skills. You will play a key role in shaping engineering standards, supporting team growth, and ensuring successful product delivery as the business continues to scale. We are looking for candidates with a strong background in Java,Go, Python. You will be passionate about engineering best practices, team development, and continuous improvement. The Engineering Manager will be responsible for: Leading and mentoring a team of software engineers within an Agile delivery environment Supporting the development and delivery of scalable software solutions Driving engineering best practices, code quality, and continuous improvement initiatives Collaborating with Product, Architecture, and wider business stakeholders Supporting existing systems while helping deliver new platform capabilities Coaching and developing engineers through mentoring, reviews, and technical leadership Managing delivery priorities and helping remove blockers for the team The Engineering Manager will have: Strong software engineering background in C#, Java, Python, or Go Previous experience leading or managing engineering teams Experience working with cloud platforms such as AWS Knowledge of Infrastructure as Code tools such as Terraform Experience with TDD and automated testing practices Strong stakeholder management and communication skills A collaborative leadership style with the ability to motivate and develop teams Experience working with distributed or remote teams would be beneficial Good experience with AI Benefits for the Engineering Manager: Hybrid working 3 day office / 2 days remote Childcare Vouchers 28 days holiday + your birthday off Interested? Please Click Apply Now! Engineering Manager £100K
Jun 13, 2026
Full time
Engineering Manager £100K Adria Solutions has an exciting opportunity for an experienced Engineering Manager to join our growing client. This role is ideal for a hands-on technology leader who enjoys building high-performing engineering teams while driving the delivery of scalable, high-quality software solutions within a fast-paced Agile environment. As Engineering Manager, you will combine strong technical expertise with people leadership, mentoring, and delivery management skills. You will play a key role in shaping engineering standards, supporting team growth, and ensuring successful product delivery as the business continues to scale. We are looking for candidates with a strong background in Java,Go, Python. You will be passionate about engineering best practices, team development, and continuous improvement. The Engineering Manager will be responsible for: Leading and mentoring a team of software engineers within an Agile delivery environment Supporting the development and delivery of scalable software solutions Driving engineering best practices, code quality, and continuous improvement initiatives Collaborating with Product, Architecture, and wider business stakeholders Supporting existing systems while helping deliver new platform capabilities Coaching and developing engineers through mentoring, reviews, and technical leadership Managing delivery priorities and helping remove blockers for the team The Engineering Manager will have: Strong software engineering background in C#, Java, Python, or Go Previous experience leading or managing engineering teams Experience working with cloud platforms such as AWS Knowledge of Infrastructure as Code tools such as Terraform Experience with TDD and automated testing practices Strong stakeholder management and communication skills A collaborative leadership style with the ability to motivate and develop teams Experience working with distributed or remote teams would be beneficial Good experience with AI Benefits for the Engineering Manager: Hybrid working 3 day office / 2 days remote Childcare Vouchers 28 days holiday + your birthday off Interested? Please Click Apply Now! Engineering Manager £100K
About This Role Security Engineer - DevSecOps We are seeking a highly skilled Security Engineer with strong software engineering foundations and deep expertise in secure development practices. The successful candidate will have hands-on experience with source code management, CI/CD pipelines, cloud-native environments, and secure code review processes. You will play a key role in identifying vulnerabilities, improving developer security practices, and embedding security into modern engineering workflows. Required Skills & Experience Technical Skills Expert-level knowledge of Git and modern version control workflows Strong frontend and backend development experience Hands-on application security experience in modern engineering environments Experience performing manual and automated secure code reviews Practical experience with Wiz Code Strong Python scripting and automation skills Experience with Kubernetes security and containerised environments Strong AWS cloud security knowledge Solid understanding of CI/CD pipelines and DevSecOps principles Familiarity with software engineering best practices and SDLC processes Security Expertise Secure coding practices and vulnerability remediation OWASP Top 10 and common application security risks Static and dynamic application security testing concepts Secrets management and dependency security Threat modelling and risk analysis Soft Skills Ability to communicate effectively with developers and engineering leadership Strong analytical and problem-solving skills Collaborative mindset with a pragmatic approach to security Ability to balance security requirements with engineering productivity Preferred Qualifications Experience working in high-scale cloud-native environments Familiarity with Infrastructure as Code (Terraform, CloudFormation, etc.) Knowledge of container security and Kubernetes hardening Experience integrating security tools into developer workflows Ideal Candidate Profile You are someone who: Thinks like an engineer and understands developer challenges Can read, understand, and assess production-grade code Is comfortable working across security, infrastructure, and engineering teams Enjoy improving developer security practices through collaboration rather than gatekeeping Understands modern DevSecOps and cloud-native application architectures
Jun 13, 2026
Full time
About This Role Security Engineer - DevSecOps We are seeking a highly skilled Security Engineer with strong software engineering foundations and deep expertise in secure development practices. The successful candidate will have hands-on experience with source code management, CI/CD pipelines, cloud-native environments, and secure code review processes. You will play a key role in identifying vulnerabilities, improving developer security practices, and embedding security into modern engineering workflows. Required Skills & Experience Technical Skills Expert-level knowledge of Git and modern version control workflows Strong frontend and backend development experience Hands-on application security experience in modern engineering environments Experience performing manual and automated secure code reviews Practical experience with Wiz Code Strong Python scripting and automation skills Experience with Kubernetes security and containerised environments Strong AWS cloud security knowledge Solid understanding of CI/CD pipelines and DevSecOps principles Familiarity with software engineering best practices and SDLC processes Security Expertise Secure coding practices and vulnerability remediation OWASP Top 10 and common application security risks Static and dynamic application security testing concepts Secrets management and dependency security Threat modelling and risk analysis Soft Skills Ability to communicate effectively with developers and engineering leadership Strong analytical and problem-solving skills Collaborative mindset with a pragmatic approach to security Ability to balance security requirements with engineering productivity Preferred Qualifications Experience working in high-scale cloud-native environments Familiarity with Infrastructure as Code (Terraform, CloudFormation, etc.) Knowledge of container security and Kubernetes hardening Experience integrating security tools into developer workflows Ideal Candidate Profile You are someone who: Thinks like an engineer and understands developer challenges Can read, understand, and assess production-grade code Is comfortable working across security, infrastructure, and engineering teams Enjoy improving developer security practices through collaboration rather than gatekeeping Understands modern DevSecOps and cloud-native application architectures
Senior Software Engineer London (Hybrid) 90,000 - 100,000 Here at Data Idols, we're working with an innovative technology business that is scaling a cutting-edge AI-powered platform used by enterprise clients globally. As the platform continues to grow, they're looking for a Senior Software Engineer to play a key role in shaping its future architecture, scalability and technical direction. This is an opportunity to join a high-performing engineering team where you'll have genuine influence over architecture, technology decisions, product direction and engineering standards. The Opportunity As a Senior Software Engineer, you'll take ownership of key platform components from design through to deployment, optimisation and ongoing support. Working within a modern cloud-native environment, you'll help design, build and scale an AI-powered platform that is entering a significant growth phase and supporting increasingly large enterprise customer bases. This is a highly visible role where you'll collaborate closely with product and engineering leadership to shape technical roadmaps, influence architecture decisions and contribute to the long-term evolution of the platform. You'll be responsible for delivering high-quality, resilient software, improving engineering processes and tooling, and driving best practice across development, testing, deployment and monitoring. Skills and Experience Strong commercial experience developing software using both Python and TypeScript Experience building and operating applications within AWS and/or GCP environments Strong understanding of scalable system design Hands-on experience with CI/CD pipelines and modern engineering practices Experience building resilient, cloud-native applications If you're an experienced software engineer looking to work on complex technical challenges within a modern AI-focused environment, we'd love to hear from you. Senior Software Engineer
Jun 13, 2026
Full time
Senior Software Engineer London (Hybrid) 90,000 - 100,000 Here at Data Idols, we're working with an innovative technology business that is scaling a cutting-edge AI-powered platform used by enterprise clients globally. As the platform continues to grow, they're looking for a Senior Software Engineer to play a key role in shaping its future architecture, scalability and technical direction. This is an opportunity to join a high-performing engineering team where you'll have genuine influence over architecture, technology decisions, product direction and engineering standards. The Opportunity As a Senior Software Engineer, you'll take ownership of key platform components from design through to deployment, optimisation and ongoing support. Working within a modern cloud-native environment, you'll help design, build and scale an AI-powered platform that is entering a significant growth phase and supporting increasingly large enterprise customer bases. This is a highly visible role where you'll collaborate closely with product and engineering leadership to shape technical roadmaps, influence architecture decisions and contribute to the long-term evolution of the platform. You'll be responsible for delivering high-quality, resilient software, improving engineering processes and tooling, and driving best practice across development, testing, deployment and monitoring. Skills and Experience Strong commercial experience developing software using both Python and TypeScript Experience building and operating applications within AWS and/or GCP environments Strong understanding of scalable system design Hands-on experience with CI/CD pipelines and modern engineering practices Experience building resilient, cloud-native applications If you're an experienced software engineer looking to work on complex technical challenges within a modern AI-focused environment, we'd love to hear from you. Senior Software Engineer
Martin Veasey Talent Solutions
Northampton, Northamptonshire
SENIOR FULL STACK DEVELOPER Location: Northampton Hybrid (2 days office) Salary: - + Bonus + Benefits About the Company - Modern Technology in Financial Services A fast-growing financial technology organisation building scalable digital platforms to transform how customers access financial products. Its development team is expanding to deliver new customer journeys, data-driven automation and seamless system integration through a modern React, Node.js, Python and AWS stack interfacing with Zoho CRM. The Role - Hands-On Engineering and Technical Leadership The Senior Full Stack Developer will design, build and maintain core internal applications and web platforms supporting new financial products and customer self-service solutions. You'll own end-to-end delivery from architecture through deployment and introduce modern engineering standards across the team. Key Responsibilities Architect and develop applications using React, Node.js, Python and AWS (Lambda, S3, Redshift). Integrate internal platforms with CRM and external partners via REST APIs. Implement CI/CD, version control and testing frameworks to professionalise the development lifecycle. Success will be measured by establishing scalable code practices, mentoring developers and delivering early deployments within six months. Collaborate with data and CRM teams to deliver automation and analytics capabilities. Drive technical quality, security and performance across all builds. Candidate Profile 5 + years as a Full Stack Developer with expertise in React and Node.js. Strong knowledge of AWS services (Lambda, S3, EC2, Redshift). Experience building and consuming APIs and integrating applications with CRM or data systems. Background in Agile software development and mentoring junior engineers. Ability to balance hands-on coding with technical decision-making and architecture planning. Why Join Key engineering role shaping a modern platform in a scaling organisation. Opportunity to introduce best practice and influence technical direction. Hybrid working (2 days office) with a supportive, collaborative culture. Competitive bonus scheme and career development within a growing technology function. Visa Transfer Policy: UK right to work preferred; visa transfer for exceptional UK-based /UK experienced candidates only may be considered.
Jun 13, 2026
Full time
SENIOR FULL STACK DEVELOPER Location: Northampton Hybrid (2 days office) Salary: - + Bonus + Benefits About the Company - Modern Technology in Financial Services A fast-growing financial technology organisation building scalable digital platforms to transform how customers access financial products. Its development team is expanding to deliver new customer journeys, data-driven automation and seamless system integration through a modern React, Node.js, Python and AWS stack interfacing with Zoho CRM. The Role - Hands-On Engineering and Technical Leadership The Senior Full Stack Developer will design, build and maintain core internal applications and web platforms supporting new financial products and customer self-service solutions. You'll own end-to-end delivery from architecture through deployment and introduce modern engineering standards across the team. Key Responsibilities Architect and develop applications using React, Node.js, Python and AWS (Lambda, S3, Redshift). Integrate internal platforms with CRM and external partners via REST APIs. Implement CI/CD, version control and testing frameworks to professionalise the development lifecycle. Success will be measured by establishing scalable code practices, mentoring developers and delivering early deployments within six months. Collaborate with data and CRM teams to deliver automation and analytics capabilities. Drive technical quality, security and performance across all builds. Candidate Profile 5 + years as a Full Stack Developer with expertise in React and Node.js. Strong knowledge of AWS services (Lambda, S3, EC2, Redshift). Experience building and consuming APIs and integrating applications with CRM or data systems. Background in Agile software development and mentoring junior engineers. Ability to balance hands-on coding with technical decision-making and architecture planning. Why Join Key engineering role shaping a modern platform in a scaling organisation. Opportunity to introduce best practice and influence technical direction. Hybrid working (2 days office) with a supportive, collaborative culture. Competitive bonus scheme and career development within a growing technology function. Visa Transfer Policy: UK right to work preferred; visa transfer for exceptional UK-based /UK experienced candidates only may be considered.
