At a Glance
- Tasks: Dive into AI projects, build solutions, and collaborate with experts in a dynamic environment.
- Company: Join Inference Group, where innovation meets practical AI applications.
- Benefits: Remote work flexibility, hands-on experience, and opportunities for growth.
- Other info: Work in a supportive team that values collaboration and transparency.
- Why this job: Be at the forefront of AI technology and make a real impact on businesses.
- Qualifications: Strong analytical skills, AI experience, and a passion for learning.
The predicted salary is between 60000 - 80000 £ per year.
About Us: Inference Group is a team of engineers and innovators who believe artificial intelligence can fundamentally improve the way organisations work. Our mission is to help businesses realise genuine value from data and AI - not just through prototypes, but by building solutions that work reliably in the real world. We help our clients move faster, think smarter, and make better decisions by combining applied AI, data, and practical consulting.
We’re looking for a Technical AI Analyst who combines strong analytical thinking with genuine hands-on AI experience. This is someone who is already experimenting with large language models, Claude, building AI-powered workflows, researching emerging technologies, and can confidently discuss the future of AI with senior leaders.
You’ll work closely with consultants, data scientists, and AI engineers on client projects, supporting analysis, research, documentation, presentations, and technical problem-solving. This is a practical, varied role with lots of exposure and plenty of opportunity to grow. Whether it’s building better analysis, improving reporting, experimenting with AI tools, or creating clearer client outputs, you’ll be hands-on and close to real work from day one.
Location: London (Remote with regular client travel to other cities)
Start Date: Immediate / within 2–4 weeks
Eligibility: Must have the permanent right to work in the UK (no visa sponsorship)
- Research emerging AI technologies and identify practical client applications.
- Work with the team to design AI-enabled solutions for enterprise clients.
- Build and prototype solutions using leading AI platforms including OpenAI and Anthropic Claude.
- Analyse business problems and translate them into AI opportunities.
- Stay at the forefront of developments across Generative AI, LLMs, AI Agents and enterprise AI adoption.
- Support team in AI strategy workshops with senior client stakeholders.
- Produce high-quality research, reports and executive presentations.
- Work with structured and unstructured data to support AI initiatives.
- Collaborate with engineers and consultants to deliver client projects.
- Evaluate AI model performance and recommend improvements.
We’re looking for someone with a solid analytical foundation who’s curious about AI and enjoys learning on the job. You should be comfortable working with data, structure, and technical concepts and confident engaging in a professional, client-facing environment.
- Experience working with OpenAI, Anthropic Claude, or similar frontier AI models.
- Hands-on experience building AI workflows, prototypes, or client-facing AI solutions.
- Computer Science, Data Science, Mathematics, Statistics, Engineering.
- Strong business analysis and problem-solving ability.
- Strong SQL skills and experience analysing and interpreting data.
- Familiarity with cloud platforms such as Google Cloud, Azure or AWS.
- A delivery-focused mindset with strong attention to detail and a commitment to high-quality outcomes.
- Experience with Python or other scripting languages.
- Exposure to prompt engineering, AI agents or LLM application development.
- Experience working with APIs and integrating AI services into business workflows.
We Geek Out Loud: we excel in our data and AI domain, using our expertise to deliver solutions that realise value. We collaborate openly with full transparency, learning from each other as a community.
We are the Connectors: we bridge the gaps between business value, data engineering, data science and deployment. We Empower our Customers: we equip our clients with the skills and knowledge to fully leverage, scale and deploy data and AI solutions. We prioritise delivering operational success over prototypes and proof of concepts to provide long term value. We are Data Jedis: we work on hard problems and aim to deliver working solutions at scale. We don’t have time for politics, backbiting, gossiping, game playing or selfish behaviour.
Technical Deployment Analyst employer: Inference Group
Inference Group is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to explore the latest advancements in AI while working on meaningful client projects. With a strong focus on professional growth, team members have ample opportunities to enhance their skills through hands-on experience and exposure to cutting-edge technologies in a supportive environment. Located in London, with the flexibility of remote work and regular client travel, Inference Group offers a dynamic setting for those passionate about making a real impact in the world of data and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Deployment Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Inference Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Technical Deployment Analyst at Inference Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Inference Group.
✨Apply Directly through Our Website
When you find a suitable opening like Technical Deployment Analyst at Inference Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Technical Deployment Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Inference Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Inference Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Inference Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Inference Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
