At a Glance
- Tasks: Lead AI engineering and MLOps teams to drive innovation and operational excellence.
- Company: Join a forward-thinking tech company focused on AI and machine learning.
- Benefits: Competitive salary, flexible working, private medical insurance, and mental wellbeing support.
- Other info: Enjoy 27 days annual leave and a competitive bonus scheme.
- Why this job: Shape the future of AI while mentoring high-performing teams in a dynamic environment.
- Qualifications: Proven leadership in AI Engineering and expertise in machine learning and cloud technologies.
The predicted salary is between 30414 - 36989 £ per year.
As a member of the CIO Technology Engineering senior leadership team, the Head of AI Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines and MLOpstooling.
The roleis responsible forestablishing AI engineering standards, governanceand best practices across the model lifecycle, ensuring solutions are scalable, secure, compliant and deliver measurable business value.
About the role Lead AI engineering, MLOps and platform teams, driving high-quality delivery and operational excellence.
Define andmaintainengineering standards, AIguardrailsand Responsible AI practices.
Oversee model development, deployment, monitoring, evaluationand continuous improvement processes.
Drive preventative controls, automation, observabilityand root cause analysis to minimise technical debt and service issues.
Partner with Architecture, Risk, Complianceand business stakeholders to shape AI roadmaps and align delivery with strategicobjectives.
Provide clear reporting on progress, modelperformanceand value realisation, identifyingopportunities for improvement.
Build, mentorand develop high-performing teams through coaching, successionplanningand recruitment.
About you Significant leadership experience in AI Engineering within a fast-paced technology environment.
Strongexpertisein machine learning, MLOps, generative AI, LLMs, AI platforms and cloud technologies (e. g.
Microsoft Azure AI/Azure ML).
Proven experience implementing AI engineering standards, deployment automation, modelmonitoringand Responsible AI frameworks.
Excellent analytical, problem-solving and stakeholder management skills.
Strong written, verbal and presentation skills, withproficiencyin Microsoft Office applications.
Passion for innovation, data-drivendecision-makingand continuous learning.
Regrettablywe are unable to offer sponsorship for this role
Benefits: competitive salary and £6k car allowance Flexible working –we champion a flexible hybrid working approach –please speak to your recruiter to discuss in more detail Competitive bonus scheme- all colleagues are eligible for our annual 4Cs performance bonus Physical wellbeing – as a Band 5 colleague, Hastings pay for you to receive private medical Insurance (also known as PMI).
This gives you flexibility and convenience to see a specialist or consultant and allows you to decide when and where you will be seen Financial wellbeing – as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%, we are proud to provide you with an award winningpackage which includes – discounts, cashback, free independent mortgage advice and free access to financial wellbeing support Mental wellbeing programme – we have the thrive mental health app, our colleagueassistanceprogramme available 24/7, our own in-house mental health first aiders, supportgroupsand a dedicated team to make sure we are covering your needs There'smore! – 27 days annual leave +
Head of AI Engineering employer: Eastbourne DigiFest
Civica is an exceptional employer that prioritises employee growth and development, offering a supportive remote work environment in Eastbourne. With a strong focus on mentorship and collaboration, you will have the opportunity to lead junior engineers while working on impactful projects that enhance your skills and career trajectory. Join a team that values quality, performance, and continuous learning, making it a rewarding place to advance your engineering career.
