Technical Manager (m/w/d) gesucht!

Technical Manager (m/w/d) gesucht!

Full-Time 140000 - 170000 £ / year (est.) Home office (partial)
167Solutions

At a Glance

  • Tasks: Lead the design and deployment of cutting-edge AI solutions in a hands-on role.
  • Company: Join 167 Solutions, a leader in tech recruitment for innovative AI and technology roles.
  • Benefits: Enjoy a competitive salary, hybrid work, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving AI innovation and enterprise transformation.
  • Why this job: Shape the future of AI while working with top industry talent on impactful projects.
  • Qualifications: Strong background in AI, machine learning, and software engineering required.

The predicted salary is between 140000 - 170000 £ per year.

Location: London / South West UK (Hybrid)

Salary: £140,000 - £170,000 + Benefits

Type: Permanent

About 167 Solutions

167 Solutions is a specialist technology recruitment consultancy connecting organisations with exceptional talent across AI, Technology, CRM and Senior Leadership appointments. We partner with innovative start-ups, scale-ups and enterprise organisations that are transforming the way businesses operate through artificial intelligence, automation and modern software engineering.

The Opportunity

We are supporting a pioneering organisation that is building next-generation AI capabilities and looking for an experienced AI Technical Lead to drive the design, development and deployment of enterprise-scale AI solutions. This is a hands-on leadership role where you will shape technical strategy, influence architecture decisions and lead the delivery of cutting-edge AI products from concept through to production. You will work closely with executive stakeholders, product teams, engineers and data specialists to build scalable, secure and responsible AI systems that create measurable business impact.

The successful candidate will combine strong software engineering foundations with deep expertise in machine learning, Generative AI, cloud technologies and modern AI infrastructure.

  • Leading the technical direction of AI and Machine Learning initiatives across multiple business functions
  • Designing, developing and deploying production-grade AI solutions
  • Building and optimising Large Language Model (LLM) applications, RAG architectures and Agentic AI systems
  • Developing speech-to-text, voice AI and accessibility-focused AI solutions
  • Creating intelligent conversational experiences using modern AI frameworks
  • Architecting scalable cloud-native AI platforms within AWS environments
  • Building and maintaining robust MLOps pipelines and model governance frameworks
  • Leading technical discovery workshops and AI strategy discussions
  • Ensuring AI solutions are secure, compliant and aligned with responsible AI principles
  • Mentoring AI Engineers, Machine Learning Engineers and Data Scientists
  • Driving engineering best practice including CI/CD, testing, monitoring and observability

Technical Experience Required

  • Artificial Intelligence & Machine Learning
  • Strong commercial experience designing, training, evaluating and deploying Machine Learning models
  • Experience with Generative AI and Large Language Models
  • Building Retrieval Augmented Generation (RAG) platforms
  • Agentic AI and autonomous workflow development
  • NLP, speech recognition and conversational AI solutions
  • Fine-tuning and optimisation of AI models
  • Model evaluation, monitoring and governance
  • Python (essential)
  • Vector Databases (Pinecone, Weaviate, ChromaDB or similar)
  • AWS (essential)
  • Data & Engineering
  • SQL and NoSQL databases
  • Data Warehousing and Data Lake architectures
  • ETL and Data Pipeline development
  • Monitoring and Observability platforms
  • Leading AI, Machine Learning or Software Engineering teams
  • Delivering complex AI programmes from concept to production
  • Experience developing Voice AI platforms
  • Accessibility-focused AI solutions
  • Experience with multimodal AI models
  • Knowledge of Responsible AI frameworks
  • Experience building customer-facing AI products at scale
  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering or related discipline
  • Equivalent commercial experience will also be considered

This is an opportunity to join a business making significant investment in AI innovation and enterprise transformation. You will have the autonomy to influence strategy, shape technical direction and build AI solutions that deliver real-world impact while working alongside some of the brightest minds in the industry. If you're passionate about Generative AI, cloud-native architecture, voice technologies and leading high-performing engineering teams, we'd love to hear from you.

167 Solutions – Connecting exceptional AI talent with exceptional opportunities.

Technical Manager (m/w/d) gesucht! employer: 167Solutions

At 167 Solutions, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration in the heart of London. Our hybrid work model offers flexibility while our commitment to employee growth ensures you will have access to continuous learning opportunities and mentorship from industry leaders. Join us to be part of a pioneering team that is shaping the future of AI technology, where your contributions will have a meaningful impact on businesses and society.

167Solutions

Contact Details:

167Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Technical Manager (m/w/d) gesucht!

Tip Number 1

Network like a pro! Get out there and connect with people in the AI and tech space. Attend meetups, webinars, or industry events to meet potential employers and showcase your passion for AI.

Tip Number 2

Show off your skills! Create a portfolio that highlights your projects, especially those related to AI and machine learning. This will give you an edge when chatting with hiring managers.

Tip Number 3

Prepare for interviews by brushing up on common technical questions and scenarios. Practice explaining your thought process clearly, as communication is key in a leadership role like the AI Technical Lead.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you a better chance to stand out.

We think you need these skills to ace Technical Manager (m/w/d) gesucht!

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models (LLM)
Cloud Technologies
AWS
Python

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the role of AI Technical Lead. Highlight your experience with machine learning, cloud technologies, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you the perfect fit for this role. Don't forget to mention specific experiences that relate to the job description.

Showcase Your Projects:If you've worked on any AI or machine learning projects, make sure to showcase them in your application. We love seeing real-world examples of your work, especially if they demonstrate your ability to deliver complex AI solutions.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don't miss out on any important updates from us!

How to prepare for a job interview at 167Solutions

Know Your AI Stuff

Make sure you brush up on your knowledge of AI and machine learning concepts, especially around Generative AI and Large Language Models. Be ready to discuss your past experiences in designing and deploying AI solutions, as well as any specific projects you've led that align with the job description.

Showcase Your Leadership Skills

As a Technical Manager, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've mentored engineers or led technical discussions. Highlight your experience in driving engineering best practices and how you've influenced architectural decisions in previous roles.

Get Familiar with Their Tech Stack

Research the technologies mentioned in the job description, like AWS, Python, and vector databases. If you have experience with these tools, be prepared to discuss how you've used them in your work. If not, show your willingness to learn and adapt by mentioning similar technologies you've worked with.

Prepare Questions for Them

Interviews are a two-way street! Prepare insightful questions about their AI strategy, team dynamics, and the challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.