Lead AI Engineer
Circa £60,000
100% Remote
(UK-Based, No Sponsorship Provided)
Join a future leader in Legal AI Innovation!
Are you ready to be part of something big? How about working with a company that’s leading the way in the medico-legal services industry.
This tech-driven company is making waves in the UK by providing cutting-edge solutions that help solicitors and other experts easily access medical records. With a team of developers, clinicians, and customer service pros, they’re covering the entire lifecycle of a medico-legal case – and they’re not stopping there!
They’re on a mission to take things up a notch by harnessing the power of machine learning and artificial intelligence.
Sound Like Fun? Here’s What You’ll Be Doing as a Lead AI Engineer:
As the Lead AI Engineer, you’ll be at the helm of a new AI team that is current being built, driving innovation and creating solutions that break new ground.
Your main focus will be on building generative AI and classification models, but there’s so much more to this role. You’ll be hands-on withLarge Language Models (LLMs),Azure services, and cool tools likePrompt Flow. If you love developing game-changing AI applications, this is the perfect playground for you.
So, What Will You Actually Be Doing?
- Leading and mentoringan AI dream team, taking projects from the "Aha!" moment to a live, working product.
- Designing, implementing, and optimizingAI modelswith a focus on generative AI and classification.
- Fine-tuningLarge Language Models (think GPT-4)to create solutions like text generation, content summarization, and document classification (aka making AI really useful!).
- Building scalable AI solutionson Azure using services like Azure Machine Learning and Cognitive Services.
- Designing and managing prompt workflows usingPrompt Flow—basically, making sure AI does what you want, when you want.
- Collaborating with product, data science, and engineering teams to turn business ideas into AI-driven magic.
- Ensuring AI pipelines are scalable and efficient (while staying calm when things get crazy).
- Keeping the team in the know about all the latest AI advancements and trends.
What Do You Need to Bring to the Table?
- A degree inComputer Science, AI, Machine Learningor something equally impressive.
- Around five yearsof AI/ML experience with proven leadership chops.
- Experience withLLMsandembeddings—you know your NLP stuff.
- You’ve worked with generative AI (think GPT-4) and classification models.
- Python and AI/ML libraries (PyTorch, TensorFlow) are your bread and butter.
- You knowAzurelike the back of your hand—especially Azure Machine Learning and Cognitive Services.
- You’ve worked withPrompt Flowfor managing and optimizing AI workflows.
- You’re familiar withMLOpspractices like version control and CI/CD pipelines.
- Leadership, communication skills, and project management? You’ve got those in spades.
Bonus Points for:
- Familiarity withOpenAI APIorAzure OpenAIservices.
- Experience with DevOps practices in AI (logging, monitoring, deployment—you get the idea).
- Knowledge ofdata privacy regulationsand how they affect AI solutions.
