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- Tasks: Lead and build innovative AI solutions while mentoring a talented team.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of AI while solving complex engineering challenges.
- Qualifications: 5+ years in software engineering with strong Python skills and team leadership experience.
- Other info: Dynamic role with a focus on hands-on development and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Our client is expanding its advanced AI capability across mission-critical platforms used in environments worldwide. Fimador are seeking a rare blend of hands-on AI engineer, technical authority, and team leader — to shape how their intelligent systems are designed, built, and responsibly deployed at scale. This is not a management-only role. This is for someone who still loves to build, solve complex engineering problems, guide other engineers, and set the technical direction for AI across large, high-impact systems.
Key Responsibilities:
- Architect, design, and deliver scalable AI and machine learning solutions end-to-end.
- Remain hands-on in building complex AI components and solving model or system challenges.
- Lead, mentor, and technically guide a team of AI engineers and developers.
- Define engineering standards, development practices, and quality benchmarks for AI initiatives.
- Own technical estimations, feasibility assessments, and delivery quality across AI workstreams.
- Lead technical troubleshooting, root cause analysis, and performance optimisation.
- Collaborate closely with architecture, product, and DevOps teams to embed AI into larger ecosystems.
- Continuously assess and introduce new AI tools, frameworks, and approaches to maintain innovation.
About you:
- This role suits a senior engineer who has evolved into a technical leader without losing their passion for building.
- Ideally a degree in Computer Science, Engineering, or similar.
- 5+ years of software engineering experience using modern object-oriented languages (e.g., Java, C#, Python).
- Strong Python capability alongside at least one other major language.
- Practical experience building with Generative AI technologies in real solutions.
- Experience leading or mentoring engineering teams (6+ engineers).
- Strong foundations in OOP, system design, and engineering best practices.
- Hands-on knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience with orchestration/integration frameworks such as LangChain or Semantic Kernel.
- Solid understanding of ML concepts (supervised/unsupervised learning, transformers, CNNs/RNNs, model evaluation).
- Experience with prompt engineering, RAG pipelines, and model fine-tuning.
- The judgement to identify where AI adds value — and where it doesn’t.
- Experience deploying and operationalising LLMs (exposure to Microsoft AI Foundry or Ollama advantageous).
- Strong grasp of CI/CD, testing, version control, secure coding, and modern engineering workflows.
- Exposure to MLOps tools such as MLflow, Kubeflow, or Azure ML.
Manager, Implementation Consulting in England employer: Fimador
Contact Detail:
Fimador Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager, Implementation Consulting in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering space. Attend meetups, webinars, or industry events where you can chat with folks from Fimador or similar companies. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your hands-on projects, especially those involving AI and machine learning. This is your chance to demonstrate your technical prowess and problem-solving abilities, so make it shine!
✨Tip Number 3
Prepare for the interview like it’s a coding challenge! Brush up on your technical knowledge and be ready to discuss your experience with AI frameworks and tools. Practice explaining complex concepts in simple terms, as you’ll need to guide others through your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team at StudySmarter!
We think you need these skills to ace Manager, Implementation Consulting in England
Some tips for your application 🫡
Show Your Passion for Building: When writing your application, let us see your enthusiasm for engineering and building AI solutions. Share specific examples of projects where you've rolled up your sleeves and tackled complex problems head-on.
Highlight Your Leadership Experience: We want to know about your experience leading and mentoring teams. Be sure to include details about how you've guided engineers in the past and the impact it had on your projects.
Demonstrate Technical Expertise: Make sure to showcase your technical skills, especially in Python and any other languages you’re proficient in. Mention your hands-on experience with AI/ML frameworks and any innovative tools you've introduced in your work.
Tailor Your Application: Take the time to customise your application for this role. Use keywords from the job description and align your experiences with the responsibilities outlined. And remember, applying through our website is the best way to get noticed!
How to prepare for a job interview at Fimador
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning frameworks like TensorFlow and PyTorch. Be ready to discuss your hands-on experience with these technologies, especially any projects where you've built or deployed AI solutions.
✨Show Off Your Leadership Skills
Since this role involves mentoring and guiding a team, be prepared to share examples of how you've led engineering teams in the past. Highlight specific instances where you’ve helped others grow or solved complex problems together.
✨Demonstrate Problem-Solving Prowess
Expect to face technical challenges during the interview. Prepare to walk through your thought process on how you would approach troubleshooting and optimising AI systems. Use real-life examples to illustrate your problem-solving skills.
✨Stay Current with Trends
Familiarise yourself with the latest trends in AI and machine learning. Be ready to discuss new tools or frameworks you've come across and how they could benefit the company. Showing that you're proactive about innovation will set you apart.
