Senior Software Engineer, .NET / C#, Legacy Modernisation & Platform Transformation, Hybrid / Bury St Edmunds, Suffolk, £55,000, £65,000

We are currently looking for a Senior Software Engineer with a strong .NET / C# background to join an established, product-focused business based in Suffolk. They have been operating successfully for 17 years with a strong customer base. However, like many established products, the technology platform has some catching up to do. This is a great opportunity for an experienced software engineer who enjoys working with established systems, solving complex technical problems and playing a key role in modernising a product that is already commercially successful.

The core platform is a legacy C# / .NET monolith, running on Windows IIS and Azure VMs, with limited observability and largely manual infrastructure. The business is now looking to pragmatically modernise the platform, evolving it towards a more modular architecture while improving performance, security, reliability and maintainability.

You will be involved in refactoring and improving older areas of the codebase, helping to reduce technical debt and improve knowledge sharing across the engineering team. You will also need to balance technical improvements with the needs of existing commercial customers, ensuring that the platform continues to deliver while being progressively improved.

Working closely with the Software Engineering Manager and Tech Lead, you will contribute to technical decisions and help establish and maintain good engineering practices across the team.

The business is also embracing AI-assisted development tools, and we are looking for someone who is positive and curious about AI while taking a thoughtful and pragmatic approach to its use.

We are looking for a strong senior engineer who can work autonomously, get stuck into difficult problems and take ownership of delivering high-quality, maintainable software.

You should be able to demonstrate experience with the following:

• Strong C# / .NET experience working with large, established or legacy applications
• Experience in modernising and refactoring monolithic applications towards more modular architectures to help address scalability, performance and maintainability challenges
• Working effectively with technical debt and making pragmatic decisions about where improvements will have the greatest impact
• Participating in code reviews and supporting less experienced engineers
• Working collaboratively with technical and non-technical stakeholders
• Using modern development tools, including AI-assisted development, responsibly and effectively

We are particularly interested in engineers who enjoy improving existing systems rather than only working on greenfield projects. You should be comfortable understanding a complex codebase, identifying opportunities for improvement and making changes incrementally without unnecessarily disrupting a successful product.

For more information, please get in touch with Michael Johnson at Hurren and Hope. 

Tech Lead, .NET / C#, Legacy Modernisation & Platform Transformation, Hybrid / Bury St Edmunds, Suffolk, £75,000, £90,000

We are currently looking for a Tech Lead with a strong .NET / C# background to join an established, product-focused business based in Suffolk. They have been operating successfully for 17 years with a strong customer base. However, like many established products, the technology platform has some catching up to do. This is a great opportunity for someone who enjoys the challenges involved in modernising legacy systems and having a high level of autonomy in technical decision making.

The core platform is a legacy C# / .NET monolith, running on Windows IIS and Azure VMs, with limited observability and largely manual infrastructure. We are looking for someone to help pragmatically modernise the platform, evolving it towards a modular monolith while improving performance, security, reliability and maintainability. You will help refactor older areas of the codebase to improve knowledge transfer across the team, manage technical debt and ensure technical improvements are balanced against the needs of existing commercial customers.

Working closely with the Software Engineering Manager, you will help set the technical direction of the platform and mentor a team of engineers. This will include providing guidance through code reviews, establishing clear engineering standards and helping the team make effective use of AI-assisted development tools in a thoughtful and responsible way.

Who we are looking for

We are looking for someone with strong technical ability who can work autonomously, get stuck into difficult problems and make pragmatic decisions in an imperfect environment.

You should be able to demonstrate experience with the following:

• Technical leadership and setting engineering direction
• Strong C# / .NET experience 
• Legacy system modernisation and working with large monolithic applications
• Addressing scalability and maintainability challenges within established platforms
• Evolving monolithic applications towards modular architectures, including modular monoliths and, where appropriate, serverless solutions
• Mentoring and developing engineers in modern engineering practices including AI Assisted Development
• Making pragmatic technical decisions while balancing commercial requirements
• Leading technical transformation without simply throwing away what already works

This is a hands-on technical leadership role for someone who enjoys solving real-world engineering problems, improving existing systems and helping teams become better, rather than pursuing technology for technology’s sake.

For more information, please get in touch with Michael Johnson at Hurren and Hope. 

Insurance AI Engineer, Automated Quoting

Location: London, UK

Company: InsurTech AI Startup (Seed, £3.6M)

Transform the UK insurance industry through AI-powered automation that reduces quote generation from hours to seconds. With recent seed funding, we’re disrupting traditional insurance with an AI platform that delivers near-instant coverage and hassle-free customer experiences. As insurance remains one of the least digitized industries, our technology represents a fundamental shift toward intelligent automation that can assess risk, price policies, and provide coverage in real-time while maintaining accuracy and compliance standards required in regulated markets.

What You’ll Do:

• Build machine learning models for real-time insurance risk assessment
• Develop NLP systems for automated claim processing and policy understanding
• Create pricing algorithms that balance risk, competition, and profitability
• Design fraud detection systems using behavioral and pattern analysis
• Integrate with regulatory compliance systems and insurance data providers

Requirements:

• BSc/MSc in Computer Science, Mathematics, or related field
• 2+ years experience with machine learning in financial services or insurance
• Strong background in risk modeling, pricing algorithms, or fraud detection
• Experience with regulatory compliance (FCA, Solvency II) preferred
• Proficiency in Python, SQL, and cloud platforms (AWS/GCP)

What We Offer:

• £60k-£90k + equity + performance bonuses
• Opportunity to disrupt a traditional industry with AI innovation
• Work with experienced fintech and insurance professionals
• Fast-track to senior roles in a rapidly scaling insurtech startup

GenAI Platform Engineer, Enterprise AI

Location: Amsterdam, Netherlands
Company: Series B Enterprise AI Platform

Build the infrastructure powering Europe’s enterprise AI transformation as organizations race to integrate generative AI into their core business operations. With significant funding from leading European VCs and partnerships across major enterprises, we’re developing the comprehensive platform that enables companies to safely deploy, monitor, and scale AI applications while maintaining strict data governance and regulatory compliance. As European businesses navigate GDPR, AI Act compliance, and digital sovereignty requirements, our platform provides the trusted foundation for enterprise AI adoption, serving clients across manufacturing, finance, and public sector organizations throughout the EU.

What You’ll Do:

• Design and build scalable infrastructure for enterprise LLM deployment
• Develop MLOps pipelines for model training, validation, and continuous monitoring
• Create secure multi-tenant architectures for enterprise AI applications
• Build monitoring and observability systems for production AI model performance
• Implement governance frameworks for responsible AI deployment at scale

Requirements:

• BSc/MSc in Computer Science, Engineering, or related field
• 4+ years experience with distributed systems and cloud-native architectures
• Strong background in Kubernetes, Docker, and microservices design
• Experience with ML model deployment, monitoring, and MLOps best practices
• Knowledge of European data protection regulations and enterprise security

What We Offer:

• €75k-€115k + equity + comprehensive benefits
• Work on cutting-edge enterprise AI infrastructure challenges
• Remote-first culture with offices across major European cities
• Opportunity to shape AI adoption across European enterprises

Applied AI Engineer, Industrial Automation

Location: Munich, Germany
Company: Series A Deep Tech Startup

Revolutionary industrial engineering through AI that transforms centuries-old computational methods into lightning-fast neural networks. With €15M in Series A funding, we’re solving fundamental bottlenecks in engineering simulation where traditional computational fluid dynamics creates massive delays, reducing 80+ hour simulations to mere minutes through advanced physics-informed neural networks. Our breakthrough technology serves aerospace, automotive, and renewable energy sectors, helping companies streamline design processes and accelerate innovation. As manufacturing undergoes digital transformation and sustainability becomes critical, we’re pioneering AI solutions that make advanced engineering faster, more efficient, and environmentally sustainable while working with leading European industrial partners.

What You’ll Do:

• Develop physics-informed neural networks for computational fluid dynamics applications
• Build AI models that replace traditional finite element analysis with neural solutions
• Create real-time simulation engines for industrial design and optimization
• Integrate AI systems with existing CAD/CAE workflows and industrial software
• Research novel approaches for multi-physics modeling and uncertainty quantification

Requirements:

• MSc/PhD in Engineering, Physics, Applied Mathematics, or Computer Science
• 3+ years experience with scientific computing and numerical methods
• Strong background in computational fluid dynamics, FEM, or related simulation techniques
• Expertise in physics-informed neural networks (PINNs) or neural operators
• Proficiency in Python, C++, and GPU programming (CUDA)

What We Offer:

• €70k-€110k + equity in a pioneering deep tech company
• Work on breakthrough technology with immediate industrial applications
• Collaborate with leading research institutions and industry partners
• Opportunity to publish research and present at top scientific conferences

LLM Research Scientist, Open Source AI

Location: Paris, France (Expanding to Palo Alto)

Company: Series C Foundation Model Startup

Lead the European charge in democratizing artificial intelligence through open-source foundation models that rival the world’s leading AI systems. With €1.1 billion raised from Andreessen Horowitz, Nvidia, and Microsoft, we’re building cutting-edge language models that prioritize efficiency, transparency, and broad accessibility. 

Founded by former Google DeepMind and Meta researchers, our models including Mistral 7B and Mixtral 8x7B have quickly become standouts in the global AI ecosystem. As we expand to Silicon Valley while maintaining our European roots, we’re positioned to challenge the dominance of closed AI systems by proving that open-source models can achieve state-of-the-art performance while enabling widespread innovation and developer adoption.

What You’ll Do:

• Research and develop next-generation foundation models with improved efficiency
• Design novel architectures for multimodal and reasoning-enhanced language models
• Lead open-source initiatives and contribute to the global AI research community
• Optimize training procedures for large-scale distributed model development
• Collaborate with enterprise partners to adapt models for specific industry applications

Requirements:

• PhD in Machine Learning, Computer Science, or related field
• 4+ years experience with large language model research and development
• Deep understanding of transformer architectures, attention mechanisms, and scaling laws
• Experience with distributed training frameworks (PyTorch, JAX, DeepSpeed)
• Track record of publications at top ML conferences (NeurIPS, ICML, ICLR)

What We Offer:

• €80k-€140k + significant equity in Europe’s leading AI startup
• Opportunity to shape the future of open-source AI development
• Work with world-class researchers and engineers from top tech companies
• Flexibility to work between Paris and new Palo Alto office

Senior AI Research Scientist, Drug Discovery

Location: London, UK (Hybrid)
Company: Series C Biotech AI Platform

Join the world’s first fully integrated AI drug discovery company that’s revolutionizing pharmaceutical development through advanced machine learning. With $292M raised from leading investors, including Temasek and Goldman Sachs, we’re transforming how medicines are discovered and developed, reducing the traditional 15-20 year drug development timeline through our proprietary Platform. 

Our AI-driven approach has already yielded multiple drug candidates in clinical trials, with recent partnerships spanning AstraZeneca collaborations and breakthrough research into neurodegenerative diseases. As we expand our pipeline across key therapeutic areas and advance our growing portfolio of AI-generated drug targets, we’re at the forefront of applying artificial intelligence to solve some of humanity’s most challenging health problems.

What You’ll Do:

• Develop machine learning models for drug target identification and validation
• Build AI systems for molecular design and drug-target interaction prediction
• Apply NLP techniques to extract insights from vast biomedical literature datasets
• Collaborate with wet-lab scientists to validate AI-generated hypotheses
• Research novel approaches for precision medicine and personalized drug development

Requirements:

• PhD in Computer Science, Bioinformatics, Computational Biology, or related field
• 5+ years experience in machine learning applications to life sciences
• Expertise in graph neural networks, molecular modeling, and cheminformatics
• Strong background in Python, PyTorch/TensorFlow, and scientific computing
• Knowledge of drug discovery pipelines and pharmaceutical development preferred

What We Offer:

• £90k-£130k + equity in a mission-driven biotech unicorn
• Opportunity to directly impact patient lives through breakthrough drug discovery
• Collaborate with world-class computational and experimental scientists
• Access to proprietary datasets and cutting-edge AI infrastructure

Data Scientist, Product Intelligence (US)

Location: Austin, TX
Company: Series C Consumer AI Platform

Drive product innovation through data-driven insights and machine learning as consumer AI reaches unprecedented scale and sophistication. With millions of users worldwide and exponential growth in AI-powered personalization, we’re at the forefront of the consumer AI revolution, building systems that deliver hyper-personalized experiences while driving measurable business impact. 

Our platform leverages advanced recommendation algorithms, causal inference, and real-time experimentation to optimize user engagement across diverse digital touchpoints. As consumer expectations for AI-driven experiences continue to evolve rapidly, we’re pioneering the next generation of intelligent products that anticipate user needs, adapt to behavior patterns, and create meaningful connections between users and content. Join us in shaping how millions of people interact with AI-powered products daily.

What You’ll Do:

• Build recommendation systems and personalization algorithms
• Develop causal inference models to measure product impact
• Design experimentation frameworks for product feature testing
• Create predictive models for user engagement and retention

Requirements:

• MS/PhD in Data Science, Statistics, Computer Science, or related field
• 3+ years experience in product analytics or growth data science
• Strong background in causal inference and experimental design
• Experience with recommendation systems and personalization
• Proficiency in Python, SQL, and modern data stack tools

What We Offer:

• $140k-$190k base + equity + benefits
• Work with massive-scale consumer data and AI systems
• Direct impact on product decisions affecting millions of users
• Fast-growing company with significant learning opportunities

Data Scientist, Financial Intelligence 

Location: Amsterdam, Netherlands
Company: Series A FinTech AI Platform

Transform financial services through intelligent automation and risk modeling as the financial industry undergoes unprecedented AI-driven transformation. In an era where traditional financial institutions are racing to integrate AI for competitive advantage, we’re building next-generation systems that detect fraud, assess credit risk, and optimize investment strategies with machine learning precision. 

Our platform leverages real-time transaction analysis and predictive modeling to help financial institutions stay ahead of evolving threats while ensuring regulatory compliance across multiple jurisdictions. With growing demand for AI-powered financial solutions and increasing regulatory focus on algorithmic transparency, we’re positioned at the intersection of innovation and compliance, helping shape the future of digital finance through responsible AI development.

What You’ll Do:

• Develop sophisticated models for fraud detection and financial crime prevention
• Build credit scoring and risk assessment algorithms
• Create real-time anomaly detection systems for financial transactions
• Design A/B testing frameworks for financial product optimization

Requirements:

• MSc/PhD in Mathematics, Statistics, Economics, or related field
• 4+ years experience in financial modeling or risk analytics
• Strong background in time series analysis and forecasting
• Experience with regulatory compliance (GDPR, PCI DSS, financial regulations)
• Proficiency in Python, R, SQL, and big data technologies

What We Offer:

• €65k-€95k + equity + performance bonuses
• Work on cutting-edge financial AI problems
• Opportunity to shape the future of digital finance
• International team with significant growth opportunities

Senior Data Scientist, Predictive Analytics

Location: Cambridge, UK
Company: HealthTech AI Startup

Revolutionise healthcare through AI-powered diagnostics and predictive analytics as the intersection of AI and medicine reaches a critical inflection point. Following breakthrough developments in medical AI and recent regulatory advances accelerating autonomous healthcare solutions, we’re building systems that help clinicians make faster, more accurate diagnoses while improving patient outcomes globally. Our cutting-edge neural networks analyze medical imagery at unprecedented accuracy, detecting early-stage conditions that traditional methods might miss.

With partnerships across leading medical institutions and NHS trusts, we’re at the forefront of the healthcare AI revolution, developing technology that will transform how diseases are diagnosed, treated, and prevented. Join us in creating AI systems that directly save lives while working with world-class medical researchers and regulatory experts to bring breakthrough technology to clinical practice.

What You’ll Do:

• Develop machine learning models for medical image analysis and diagnostics
• Build predictive models for early disease detection and risk assessment
• Analyze large-scale clinical datasets to identify patterns and insights
• Collaborate with clinicians to validate and refine AI-driven solutions

Requirements:

• PhD in Statistics, Computer Science, Biomedical Engineering, or related field
• 5+ years experience in healthcare analytics or medical AI
• Expertise in computer vision, particularly medical imaging
• Strong statistical modeling and experimental design skills
• Knowledge of regulatory requirements for medical AI (FDA, CE marking)

What We Offer:

• £70k-£110k + equity in a mission-driven healthcare company
• Opportunity to directly impact patient care and outcomes
• Collaborate with leading medical institutions and NHS trusts
• Comprehensive benefits including private healthcare