At a Glance
- Tasks: Join a dynamic team to develop cutting-edge AI solutions and mentor junior engineers.
- Company: Innovative AI consultancy transforming ambitions into real-world applications.
- Benefits: Competitive salary, equity options, 25 days holiday, and enhanced family leave.
- Other info: Exciting career growth opportunities in a collaborative and innovative setting.
- Why this job: Make a real impact in AI while working with talented professionals in a hybrid environment.
- Qualifications: Strong Python skills and experience in machine learning or generative AI.
The predicted salary is between 81000 - 99000 £ per year.
Manchester (Hybrid, 3 days in office) | £65,000 - £100,000 DOE + Benefits + Equity
Gravitas is partnering with an innovative AI and machine learning consultancy that is helping organisations turn AI ambition into real-world, production-ready solutions.
Following continued growth, they are looking for a
Senior Applied AI Engineer to join their engineering team and work across a range of cutting-edge AI, machine learning and generative AI projects.
This is an opportunity to work directly with customers, shape technical solutions, and build scalable systems that deliver measurable business impact.
The Opportunity
This is a hands-on role sitting at the intersection of software engineering, machine learning, cloud infrastructure and client delivery.
You\'ll be involved throughout the full project lifecycle, from discovery and prototyping through to deployment and optimisation of production-grade AI systems.
Working alongside talented engineers and data specialists, you\'ll help customers solve complex challenges using modern AI technologies, while mentoring more junior team members and contributing to technical best practice.
- What You\'ll Be Doing
- Working closely with clients to understand requirements and translate business challenges into technical solutions
- Leading the delivery of key features and technical workstreams
- Designing, building and deploying production-grade AI and machine learning systems
- Developing applications powered by LLMs, RAG architectures, agents and modern AI tooling
- Building scalable cloud-native platforms and MLOps capabilities
- Implementing high-quality engineering practices including testing, observability, CI/CD and documentation
- Contributing to architecture decisions and technical direction
- Participating in sprint planning, retrospectives and code reviews
- Coaching and mentoring engineers within the team
- Supporting customer enablement and knowledge transfer activities
- Contributing to internal R&D initiatives and helping evaluate emerging technologies
- What We\'re Looking For
- Strong commercial software engineering experience with Python
- Experience building and deploying production-grade applications and services
- Exposure to machine learning, MLOps and/or generative AI technologies
- Experience with technologies such as LLMs, RAG pipelines, model serving, AI agents, embeddings or ML workflows
- Cloud experience across AWS, Azure or Google Cloud
- Knowledge of Dev Ops practices, CI/CD and Infrastructure as Code
- Strong experience with Git, Linux and Docker
- Experience working within Agile environments
- Excellent communication and stakeholder management skills
- A passion for AI, open-source technologies and continuous learning
- Nice to Have
- Experience mentoring or leading engineers
- Knowledge of MLOps tooling and practices
- Experience within consulting or customer-facing environments
- Familiarity with Tensor Flow, Py Torch, Scikit-Learn or similar frameworks
- Experience working in regulated or security-conscious environments
- What\'s On Offer
- Competitive salary depending on experience
- Equity options
- 25 days holiday, increasing with service
- Enhanced family leave policies
- Cycle to Work scheme
- Regular social events and company-wide activities
- Clear progression opportunities within a growing AI-focused business
Due to the nature of some projects, candidates must be eligible to obtain UK Security Clearance (SC). Applicants should have been resident in the UK for at least five years.
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Senior Applied AI Engineer in Manchester employer: Gravitas Recruitment Group (Global) Ltd
Join a forward-thinking organisation in Reading that is committed to digital transformation and innovation. As the Head of Cloud Infrastructure, you will benefit from a hybrid working model, a culture that values meaningful change, and ample opportunities for professional growth within a supportive team environment. With a focus on modernisation and a strong commitment to employee development, this role offers a unique chance to shape the future of cloud infrastructure while enjoying the stability of a well-established company.
Contact Details:
Gravitas Recruitment Group (Global) Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied AI Engineer in Manchester
✨Join Local Tech Meetups
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We think you need these skills to ace Senior Applied AI Engineer in Manchester
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Gravitas Recruitment Group (Global) Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Gravitas Recruitment Group (Global) Ltd and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Gravitas Recruitment Group (Global) Ltd uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
