Lead Software Engineer

At a Glance

- Tasks: Lead the development of innovative AI solutions and automate workflows using cutting-edge technologies. - Company: Dynamic alternative credit hedge fund with a focus on AI innovation. - Benefits: Competitive salary, bonuses, flexible working, and daily catered lunches. - Why this job: Make a real impact by shaping AI strategy in a growing investment firm. - Qualifications: 8-12 years of experience in Python, SQL, and AI integration. - Other info: Join a high-calibre team that values technical excellence and creativity.

What You'll Do

- Technical Delivery (80%) - Build end-to-end automation workflows using Python, SQL, Streamlit, and FastAPI - Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) - Develop complex prompt engineering and agentic workflows - Build and optimise RAG pipelines using vector databases and embedding models - Implement MLOps best practices across AWS and Azure cloud platforms - Leverage agent frameworks (LangChain, LlamaIndex, CrewAI) to orchestrate complex AI workflows - Develop model fine-tuning, evaluation frameworks, and observability tools - Business & Leadership (20%) - Partner with teams to scale AI capabilities and establish best practices - Translate business problems into technical solutions with measurable ROI - Lead hands-on training and workshops to drive AI adoption - Build business cases that prioritise initiatives based on commercial impact

What they're Looking For

- Essential - 8-12 years of production experience with advanced Python and SQL - Hands-on experience with LLM integration, prompt engineering, and RAG architecture - Proven use of AI coding assistants (GitHub Copilot, Claude Code, Cursor) to accelerate development - Evidence of applying technology beyond your day job – side projects, open source contributions, or building tools that solve real problems - Someone who naturally gravitates toward using technology to make things better - Nice to Have - MSc or PhD in Computer Science, Data Science, Engineering, or related field - Experience in financial services, particularly credit markets or investment management - Classical ML/AI capabilities (gradient boosting, time series forecasting, anomaly detection)

What They Offer

- Competitive Package - Base salary, discretionary bonus, generous pension, comprehensive benefits, and daily catered lunches - True Flexibility - Hybrid working with four weeks "work from anywhere" annually - Direct Impact - Shape AI strategy at a growing investment firm where your solutions drive real business decisions - Innovation Freedom - Autonomy to experiment with emerging AI tools, with budget and support to explore what's next - High-Calibre Team - Work alongside driven professionals who value both technical excellence and commercial pragmatism

Lead Software Engineer in Nottingham employer: [Employer hidden — view at passion-project.co.uk]

Join a forward-thinking Alternative Credit Hedge Fund in London, where you will be at the forefront of AI innovation. With a competitive salary, generous benefits, and a culture that promotes flexibility and autonomy, this is an excellent opportunity for those looking to make a tangible impact in the financial sector. Collaborate with a high-calibre team and enjoy the freedom to explore cutting-edge AI technologies while driving meaningful business solutions.

Contact Detail:

[Employer hidden] Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Software Engineer in Nottingham

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and AI solutions. This is your chance to demonstrate your hands-on experience and problem-solving abilities to potential employers.

✨Tip Number 3

Prepare for interviews by brushing up on technical concepts and practising common interview questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Lead Software Engineer in Nottingham

Python

SQL

Streamlit

FastAPI

LLM Integration

Prompt Engineering

RAG Architecture

MLOps

AWS

Azure

LangChain

LlamaIndex

CrewAI

Model Fine-Tuning

Data Science

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Software Engineer role. Highlight your hands-on experience with Python, SQL, and LLM integration to show us you’re the right fit!

Craft a Compelling Cover Letter:

Use your cover letter to tell us why you’re passionate about AI solutions and how your past projects have made a real impact. This is your chance to showcase your personality and enthusiasm for the role!

Showcase Your Side Projects:

If you've worked on any side projects or open-source contributions, don’t hold back! We love seeing how you apply technology beyond your day job, so share those experiences to stand out.

Apply Through Our Website:

We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape AI strategy with us!

How to prepare for a job interview at [Employer hidden]

✨Know Your Tech Inside Out

Make sure you’re well-versed in Python, SQL, and the AI tools mentioned in the job description. Brush up on your experience with LLM integration and prompt engineering, as these will likely come up during technical discussions.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've solved real business problems using technology. Think about how you’ve built end-to-end solutions or optimised workflows, and be ready to explain the impact of your work.

✨Engage with Business Stakeholders

Since this role involves translating business problems into technical solutions, practice articulating how you would communicate complex tech concepts to non-technical stakeholders. Highlight any past experiences where you’ve successfully partnered with teams.

✨Demonstrate Your Leadership Qualities

Be prepared to talk about your leadership style and how you’ve led training sessions or workshops in the past. Show that you can inspire others to adopt AI solutions and drive change within an organisation.