Lead Analyst - AI Engineer (Full Stack) in London

Lead Analyst - AI Engineer (Full Stack) in London

London Full-Time 43200 - 72000 £ / year (est.) No working from home possible
ABBTECH

At a Glance

  • Tasks: Lead the development of cutting-edge AI applications and collaborate with business leaders to drive impactful solutions.
  • Company: Join a forward-thinking tech company at the forefront of AI innovation.
  • Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
  • Other info: Experience with cloud infrastructures and AI platforms is a plus.
  • Why this job: Be part of a dynamic team shaping the future of AI technology with real-world impact.
  • Qualifications: Bachelor's degree in engineering or equivalent, with 10+ years of experience in AI solutions.

The predicted salary is between 43200 - 72000 £ per year.

What you’ll do:

• Must have proven experience in Building front-end and back-end components for AI applications, building/consuming APIs, building customer centric user interfaces and designing integrations with other systems using .Net, JavaScript, Angular or React, SQL

• Must have proven experience in solution deployment by packaging trained AI models as services using Azure deployment services, Kubernetes, and GitHub for version control.

• Should have in depth understanding of Azure AI services such as Azure Machine Learning and Cognitive Services along with other AI technologies, natural language processing (NLP), computer vision and GPT models

• Should have strong expertise in articulating and documenting solution architecture for AI projects by collaborating with solution architect and enterprise architects.

• Must have abilities to collaborate with business leaders to understand their pain points and identify key areas where AI solutions can drive significant business benefit.

• Must have strong analytical and problem-solving skills, with the ability to translate business requirements into effective AI solutions.

• Must have excellent communication skills, with the ability to convey complex AI technical concepts to non-technical stakeholders

Qualifications:

Bachelors in engineering/ B.E/B. Tech and/or required equivalent MCA.

2.Overall 10+ years’ experience with proven track record of 5+ years in Solutioning and deploying end to end AI

3.Technical skills : Net, JavaScript, Angular or React, SQL Server, Azure deployment services, Kubernetes, GitHub , Azure Cognitive Services , GPT models, added advantage with GitHub Copilot

Skills:

  • Proficiency in front-end technologies (React or Angular) and back-end technologies (e.g., Node.js, Python, .NET).

  • Strong understanding of AI and machine learning frameworks (e.g., TensorFlow, PyTorch).

  • Experience with cloud and hybrid infrastructures.

  • Proficiency in scripting and automation tools (e.g., PowerShell, Azure CLI)

  • Expertise in cloud native development specialized in Microsoft Azure tech stack

  • Experience of working on AI use cases involving in Salesforce AI (Einstein and Agentforce), ServiceNow AI (NowAssist and AI Agents), SAP AI (Joule) , Oracle Cloud AI, AI applications in Industry 4.0

  • Experience with AI platforms like Palantir, Snowflake, and DataIku is advantageous

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Lead Analyst - AI Engineer (Full Stack) in London employer: ABBTECH

As a Lead Analyst - AI Engineer at our innovative company, you will thrive in a dynamic work culture that prioritises collaboration and creativity. We offer competitive benefits, including professional development opportunities and access to cutting-edge technology, all within a supportive environment that encourages growth and exploration in the rapidly evolving field of AI. Join us in our state-of-the-art facilities, where your contributions will directly impact our mission to drive significant business benefits through advanced AI solutions.

ABBTECH

Contact Details:

ABBTECH Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Analyst - AI Engineer (Full Stack) in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at ABBTECH or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to ABBTECH.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like ABBTECH.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like ABBTECH that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Lead Analyst - AI Engineer (Full Stack) in London

Front-end Development (React or Angular)
Back-end Development (.NET, Node.js, Python)
API Development and Integration
SQL Server
Azure Deployment Services
Kubernetes
Version Control with GitHub

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 ABBTECH.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ABBTECH 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 ABBTECH

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 ABBTECH 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.