GenAI Solution Engineer

Synergy Solutions Limited
London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Science & GenAI Lead

Machine Learning Engineer, Generative AI Innovation Center

Python Data Engineer III- Machine Learning

Data Engineer

Data Science Manager – Gen/AI & ML Projects - Bristol

Data Engineer - Reigate

We’re seeking an innovative and technically adept AI/GenAI Solution Engineer
to design, develop and deploy cutting-edge NLP-driven AI systems. In this role,
you will architect robust AI workflows, craft precise prompts and implement
advanced techniques such as Retrieval-Augmented Generation (RAG), vector
stores and graph-based solutions. Working closely with cross-functional teams,
you will be pivotal in transforming complex data challenges into scalable, high-
impact solutions.

Responsibilities:

  • Develop state-of-the-art NLP and generative AI solutions using Python.
  • Architect and orchestrate complex AI workflows to drive process
    automation.
  • Design, optimise and fine-tune prompts to maximise model performance.
  • Implement advanced methods including RAG, vector stores (e.g., FAISS,
    ASTRA) and graph-based systems.
  • Collaborate with product, engineering and data science teams to ensure
    seamless deployment and scalability of AI solutions.
  • Keep abreast of the latest AI, ML and NLP advancement, continuously
    integrating innovative approaches into your work.

Requirements:

  • Demonstrable experience in AI/ML development, with a strong focus
    on NLP.
  • Advanced Python programming skills, with proficiency in frameworks
    such as TensorFlow and PyTorch.
  • Proven expertise in AI workflow orchestration and prompt
    engineering.
  • Solid understanding of RAG, vector storage solutions and graph-based
    methodologies.
  • Minimum of 2 years’ experience in AI/ML development, supported by
    a degree in Computer Science or a related discipline (or equivalent
    experience).
  • Cloud platform experience (AWS, Azure, GCP) is highly desirable.

Values:

Our values define how we do business and interact with our community.

  • Honesty
  • Collaboration
  • Growth

Diversity, Belonging & Inclusion:

We welcome all applicants from all backgrounds. esynergy are proud to hire on potential, not specific experience or qualifications.

Benefits:

We are proud of our inclusive benefits including unlimited holiday, wellbeing budget, LGBTQ+ inclusive parental leave to name a few.

About us:

esynergy is a technology consultancy and we build products, platforms and services to accelerate value for our clients.
We drive measurable impact that is tightly aligned to our clients’ business objectives. Put in practice that means high transparency, metric-driven reporting, and incremental handovers and a consistent focus on building our clients’ capability.
Our delivery teams are small and highly functional, formed by a vetted ecosystem of associates, luminaries and partners. We choose technologies that are the right fit for our clients’ needs and are not opinionated around specific tech stacks and service offerings.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.