Head of AI Engineering

 

Permanent - Manchester

Hybrid with a focused on-site presence

 

Join a pioneering 5yr+ TechBio company at the intersection of AI, synthetic biology, and industrial biotechnology. You will lead the building of an AI engineering platform connecting computational design, experimental validation, and real-world commercial outcomes. Reporting directly to the CEO, sitting on the management team, and engaging with the Board.

This is a hands-on leadership role with genuine scope to shape the company's long-term technical position.

 

The tasks of a Head of AI Engineering will include:

• Build & lead the AI engineering team; hiring, coaching, designing, delivering.
• Contribute hands-on in coding, architecture, and technical problem-solving.
• Define and build the AI platform connecting data, models, workflows, and learning loops.
• Design and deploy agentic AI capabilities that improve scientific workflows and platform intelligence.
• Build the software foundations for autonomous closed-loop experimentation linking computational design and lab validation.
• Partner with leadership to translate challenges into scalable AI systems.
• Shape technical strategy, hiring, and engineering standards as company scales.

 

To progress as a successful Head of AI Engineering, you will require:

• 5+ years leading engineering, ML, or AI teams at Director or equivalent level.
• Deep expertise in AI/ML; model architectures, training, evaluation, and production deployment.
• Strong software engineering background building production-grade AI platforms and infrastructure.
• Proven experience building and deploying agentic systems into live workflows.
• A player-coach approach; equally comfortable writing code, setting architecture, and leading people.
• Strong communication skills across technical, scientific, and executives.

 

Highly desirable skills include:

• Exposure or understanding of AI and ML in a scientific or biotech environment
• Familiar with specialised datasets, iterative learning loops, or semi-autonomous experimentation systems.

Please Note

• Own eligibility to work in the UK —  sponsorship is not available for this role.
• Significant experience in elite level AI environments is critical.

Rewards & Benefits

• Competitive salary plus equity.
• Senior leadership role with direct CEO and Board exposure.
• The opportunity to build something unique in a well-backed, science-led environment.

 

Keyword terminology
AI Engineering, Machine Learning, Agentic AI, AI Platform, Closed-Loop Experimentation, Autonomous Experimentation, Protein Engineering, Biocatalysis, Computational Biology, Synthetic Biology, Deep Tech, TechBio, Director of Engineering, ML Platform, AI Infrastructure, Lab Automation, Bioinformatics, Player-Coach, Engineering Leadership, AI Agents, LLMs, Python, Numpy, MLOps, Life Sciences AI, Biotechnology.

 

Network Engineer

Permanent – Hybrid
Greater Manchester

Join a high‑performing technology function responsible for the resilience, performance, and evolution of critical network services across a fast‑moving, multi‑site organisation. As a Network Engineer, you’ll play a key role in designing and delivering network‑focused projects, optimising complex, high‑availability environments, and supporting day‑to‑day operational activities that keep the business running smoothly.

This is a collaborative team with a supportive, close‑knit culture — a place where people enjoy working together, share knowledge openly, and step in to help one another when challenges arise. Everyone has a voice, and contributions are both encouraged and valued, whether resolving a major incident, shaping technical decisions, or improving best‑practice.

Key Responsibilities

• Ensure the availability and stability of core infrastructure and network services.
• Diagnose, troubleshoot, and escalate across a broad range of networking products and hardware.
• Identify performance bottlenecks in complex network environments and drive optimisation activities.
• Produce clear procedural documentation for all end‑users.
• Handle escalated customer or business issues at the appropriate technical level.
• Campion collaboration in the support & resolution of complex technical and business challenges.
• Collaborate with analysts, engineers, and project teams to share insight, develop ideas, and contribute to delivery.

Skills & Experience Required

• Strong knowledge of enterprise‑grade network hardware, specifically Cisco switches, routers, and firewalls (Catalyst, Nexus, ISR, ASR, ASA).
• Deep knowledge of Palo Alto firewalls, with demonstrable maintenance & deployment experience.
• Hands‑on experience with Cisco IOS, VLANs, EIGRP, OSPF, BGP.
• Experience with modern wireless solutions (ideally Meraki).
• Familiarity with WAN point‑to‑point links and MPLS.
• Familiarity with VPN; SSL & IPSEC.
• Exposure to Monitoring systems like SolarWinds or Zabbix and understanding of Zero Trust environments.

Key Information

Visa sponsorship is not available at this time.
Hybrid working requires candidates to live within a reasonable commuting distance.

Rewards & Benefits

• Competitive salary aligned with experience
• 28 days annual leave, plus bank hols, plus volunteer days
• Pension & life assurance options
• Training & Development Academy
• Enhanced policies for Maternity, Paternity, Adoption
• Opportunities for flexible working
• A range of opt-in-options, such as Private Medical, Dental etc
• A range of life-style and high-street discount options
 

Keyword Terminology

Networking Engineer, Networking Specialist, Networking, Cisco, Palo Alto, Firewalls, Routing & Switching, Catalyst, Nexus, ISR, ASR, ASA, OSPF, BGP, EIGRP, High‑Availability, Meraki, MPLS, WAN, VPN, SSL, IPSEC, Infrastructure, Troubleshooting, Operational Support, CCNA, CCNP, CCIE

Lead Software Engineer – AI, Agentic Development

Permanent – Hybrid
Greater Manchester area

Join our client as either a Lead or Senior Engineer, taking a significant role in shaping the next generation of AI‑enabled software delivery. This position embraces emerging AI tooling, where you’ll design, build and augment intelligent agent‑based workflows that transform how teams build, test, review and deploy software.

This is not about code re-use or simple code autocompletion. It’s an opportunity to act as a lead for a distributed ecosystem of ‘coding agents’, developing the logic, structures and governance that allow multi‑agent systems to collaborate as part of a modern engineering function. If you’re excited by experimentation, advanced AI‑assisted development, and driving best practice in a rapidly evolving space, this role offers a rare chance to influence engineering culture at scale.

Duties of the Senior Software Engineer will include:

• Design and implement multi‑agent development workflows (e.g., writer, reviewer, tester, deployer agents).
• Develop prompts, behavioural logic, and composition frameworks that guide autonomous coding agents.
• Enable safe and structured agent access to tools such as file systems, source control, test harnesses, and internal APIs.
• Evaluate and refine AI agent performance, assessing collaboration patterns, output quality, and feedback loops.
• Lead and contribute to architectural discussions on AI‑driven build systems, automated generation, and intelligent pipeline design.
• Prototype new AI‑powered developer experiences using LLMs, vector stores, and internal knowledge bases.
• Partner with cross‑functional teams on AI‑enhanced tooling for internal users.
• Help define AI evaluation standards; reliability, accuracy, velocity, impact.
• Mentor others colleagues applying generative AI to real-world development workflows.

• Mentor others colleagues applying generative AI to UI prototyping and automation.
• Champion secure integration of generative AI into regulated environments.
• Participate in the engineering on‑call rotation.

To progress in the Sen Software Engineer role, your experience should include:

• 5+ years’ software engineering experience across both backend and frontend stacks.
• A strong proficiency in various development languages, inc; Java / TypeScript / React.

• Strong relational databases skills, ideally MySQL.
• Practical experience using modern AI‑assisted development tooling—such as Cursor, Windsurf, LLM APIs, code‑generation frameworks, vector databases, and agentic platforms such as LangChain.
• A product mindset focused on building tools & systems deliver real‑world value.
• A demonstrable focus on experimentation, iteration, continuous learning, and evidence‑based decision‑making.
• Ability to operate effectively in regularly evolving, ambiguous environments and contribute to the creation of emerging standards and best practices.
 

Rewards & Benefits

• Competitive base salary commensurate with experience.
• Hybrid working model aligned to team and project needs. (typically, 60% in office)
• Comprehensive benefits package inc. pension, private health, dental & vision care.
• Professional development pathways, including advanced technical training.
• A highly collaborative working environment that values innovation, ownership, and continuous improvement.

Keywords

Agentic Engineering, Software Engineering, AI Engineering, AI Development, Agentic Development, AI‑Enabled Engineering, Multi‑Agent Systems, Generative AI, Java, TypeScript, React, MySQL, LLMs, Cursor, Windsurf, Agentic IDE’s, LLM API’s, Langchain, Code Automation, Developer Tooling, Software Engineering, Agentic Frameworks, Codeium, Lang Chain, Codegen, CI/CD, Vector Databases, Intelligent Pipelines, AI‑Assisted Development, AutoGen, CrewAI, LangGraph, Platform Engineering, Emerging Technologies, Large language models, Antigravity, Anthropic, Claude Code.

Service Support Engineer (Senior)

Permanent – Hybrid

Manchester

 

Join a global technology driven organisation as part of a high performing Cloud Infrastructure & Platform Engineering function, supporting complex digital platforms used across financial markets worldwide. As a Senior Service Engineer, you will embed directly with development squads across the UK and US, driving reliability, scalability, and operational excellence across critical production services — including new AI powered platforms.

 

This is an opportunity to combine deep technical engineering with strategic influence, enabling cloud native, modern deployment patterns, and AI enhanced operations within a mature, forward looking engineering environment.

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About the Team

Service Reliability brings together Site Reliability, DevOps, Security and Applications Support engineering into one group working within a broader Cloud Infrastructure & Platform Engineering function. The team provides subject matter expertise across cloud technologies, systems engineering, DevOps tooling, infrastructure automation, and platform reliability.

 

Your work will focus on improving service quality for major production systems, while partnering closely with engineering squads delivering new AI capabilities and mission critical digital services.

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Key Responsibilities

• Lead the delivery of reliable, scalable, mission critical services across cloud and containerised environments.
• Advise engineering squads on Kubernetes, modern deployment patterns, and best practice operational design.
• Mentor associate engineers, establish engineering standards, and uplift service maturity across teams.
• Partner with development and operations teams to evolve service architectures, DevOps tooling, and CI/CD practices.
• Architect, govern GitHub Actions pipelines with quality gates, automated validation.
• Own observability (Datadog), defining SLIs/SLOs, dashboards, alerting, MS Teams integrations, and telemetry based improvements.
• Drive AI enabled operations using Bedrock/SageMaker and the Model Context Protocol (MCP) for log analysis, anomaly detection, and incident workflows.
• Define cloud guardrails and enforce security controls, including IAM boundaries, SCPs, OPA policies, tagging, centralized logging, and audit tooling.
• Act as an escalation point for complex issues and participate in on call rotation.
• Shape cross functional roadmaps and contribute to major platform initiatives across the global engineering organisation.

________________________________________

 

Skills & Experience required

• Deep hands on experience in SRE / DevOps / Platform Engineering across AWS Azure.
• Strong production experience running Docker and Kubernetes at scale.
• Proficiency in administering Linux & Windows
• Experience supporting .NET/IIS and Java Spring Boot applications.
• Hands-on building and maintaining GitHub Actions CI/CD pipelines (Bamboo).
• Competence scripting with Python, PowerShell, or Bash.
• Experience with cloud security; IAM, secrets management, image/container scanning.
• Strong understanding of core infrastructure: networking, storage, DNS, APM, telemetry

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Highly desired experience includes:

• Experience with AI driven operational tooling (triage, runbooks, change management) with strong governance controls.
• Supporting large scale AI/ML workloads — SageMaker, GPU autoscaling, Kubernetes based model serving.
• Experience implementing policy as code (OPA)
• Experience implementing compliance frameworks (CIS, NIST, ISO 27001).
• Applying AI within CI/CD, observability, and incident response using Bedrock / SageMaker and MCP.

 

KEY NFO:

**Visa sponsorship is not available at this time

**Hybrid working will require the successful candidate to reside within a reasonable commutable distance.

 

Rewards & Benefits

 

In addition to a strong salary linked to experience:

• Flexible annual leave
• Strong pension and life‑assurance schemes
• Health insurance
• Access to wellbeing, mental‑health, and lifestyle support programmes
• Employee discounts across a range of health and related services

 

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Keyword Terminology

SRE, Service Reliability Engineering, Applications Support, Applications Engineering, DevOps, SecDevOps, Platform Engineering, AWS, Azure, Kubernetes, Docker, Linux, Windows, IIS, .NET, Java, Spring Boot, CI/CD, GitHub Actions, Bamboo, Python, PowerShell, Bash, Datadog, Observability, SLIs, SLOs, Bedrock, SageMaker, MCP, OPA, IAM, Cloud Security, Infrastructure Automation, AI enabled Operations, Container Security

React Native Mobile Developer
Permanent
Manchester Centre

Hybrid – after initial engagement, circa 3 or 4 days WFH

 

Join our exciting client creating world-class mobile experiences that delight users and push the boundaries of innovation. As a Senior Mobile Developer, you’ll play a key role in shaping and delivering high-quality apps that combine exceptional design with robust functionality. This is an opportunity to work with cutting-edge technologies, collaborate across teams, and make an immediate impact in a fast-growing, ambitious company.

The tasks of a Mobile Developer will include:
• Build and own mobile features end-to-end: plan, develop, test, deploy, and iterate.
• Collaborate with product owners, designers, and engineers to define requirements and deliver elegant solutions.
• Contribute to discovery and ideation sessions, influencing the mobile roadmap.
• Ensure best practices in coding, testing, and performance optimization.
• Work closely with cross-functional teams to address feature requests and resolve issues quickly.

To progress as a successful Mobile Developer you will require:
• Strong commercial experience with React Native.
• Hands-on experience with Redux in production environments.
• Familiarity with React Native Testing Library and Jest for unit testing.
• Excellent collaboration skills and ability to work with developers, UX teams, and product owners.
• Bonus: Experience or interest in PHP, Laravel, or native iOS/Android development.
• Self-sufficient, proactive, and able to hit the ground running.

Rewards & Benefits
• Competitive salary: £60,000–£75,000 (flexible for exceptional candidates).
• Hybrid working: 3 or 4 days WFH plus flexible hours.
• Extensive holidays, holiday allowance and holiday purchase scheme.
• Your own L&D budget for your career development.
• Enhanced maternity, paternity, adoption leave.
• A broad range of bespoke staff benefits and allowances

Keywords
Senior Mobile Developer, Mobile Engineer, Applications Engineer, React Native, Redux, ReactNative, Jest, Mobile App Development, iOS, Android, React-Native, CI/CD, Agile, Cross-Platform Development.