Infused Solutions Ltd

Job Title: Business Development Manager - Life Sciences Location: Remote, London Based Salary: 80,000 - 100,000 + Benefits + Bonus A fast growing consultancy is seeking a dynamic and high-performing Business Development Lead to join as they look to expand their operations. This role is perfect for an experienced sales professional who is driven by results and thrives on tackling complex challenges. You will be responsible for overseeing the complete sales lifecycle, collaborating with your team to drive deal flow and expand the companies presence. Key Responsibilities: Sales Strategy Development: Design and execute sales strategies to generate a pipeline, drive opportunities, and ensure repeatable and predictable bookings. Identify, develop and secure new client opportunities across the life sciences sector. Product Expertise: Become an expert in our solutions. Pipeline Management: Build, manage, and grow a strong sales pipeline, ensuring accurate forecasting and alignment with company goals. Customer Advocacy: Act as the voice of prospects and customers within the organisation, leveraging feedback to influence product roadmaps. Quota Achievement: Meet and exceed sales quotas, consistently driving performance and results. Travel Requirements: Attend conferences and company meetings as necessary to support business growth and relationship-building. Client Relationship Management: Manage relationships with key accounts, particularly large enterprises, while securing high-value deals and cultivating long-term partnerships. Key Skills and Experience: Proven Sales Experience: 5-7 years of experience in sales, with a demonstrable track record of carrying and exceeding quotas in the life sciences sector. Consultative Sales Approach: Experience in an advisor/consultant sales role with a focus on understanding client needs and providing tailored solutions. Leadership Skills: Ability to lead and collaborate with internal teams, ensuring alignment across departments to achieve company objectives. Communication Skills: Strong verbal and written communication skills, with the ability to present and negotiate effectively. CRM Proficiency: Familiarity with CRM systems such as Hubspot Sales Methodologies: Experience with target account selling, solution selling, and methodologies. Problem-Solving and Analytical Skills: Strong ability to analyse complex sales situations and navigate challenging opportunities. Organisational Skills: High level of organisation, attention to detail, and time management, with the ability to juggle multiple tasks effectively. Why Join Us? Innovative Work Environment: Be part of a rapidly growing company. Competitive Compensation: Attractive salary, performance-based incentives, and benefits. Career Development: Opportunities to grow and advance within a dynamic, fast-paced environment. Work-Life Balance: Enjoy flexible remote working options with a focus on results and collaboration. Inclusive Culture: Join a team that values diversity and innovation If you are a strategic sales leader with a proven ability to drive results, we want to hear from you! If the role is of interest please reach out to Ahsan Iqbal directly.

Senior AI Engineer Location: London (Hybrid - 1 day per week in the office) Salary: 65,000 - 75,000 + Excellent Benefits Job Type: Permanent Please note: Applicants must have the right to work in the UK. Unfortunately, visa sponsorship is not available for this position. The Opportunity An exciting opportunity has arisen for an experienced Senior AI Engineer to join a growing AI and Data Science function within a leading global organisation. This team is responsible for developing innovative AI, Machine Learning and Natural Language Processing (NLP) solutions that power intelligent products used by customers around the world. Working within a collaborative, cross-functional engineering environment, you'll play a key role in designing scalable AI platforms, productionising machine learning models and building cloud-native services that deliver real business value. This is an excellent opportunity for someone who enjoys solving complex technical challenges while mentoring others and influencing engineering best practices. The Role Reporting to the AI Engineering Manager, you'll take ownership of the architecture, design and delivery of complex AI services and data pipelines. Working closely with Data Scientists and Software Engineers, you'll help transform research and machine learning models into reliable, scalable production systems. You'll have the autonomy to make key technical decisions while helping define engineering standards across the wider team. Key Responsibilities Design, build and maintain scalable AI data pipelines and processing workflows. Develop cloud-native backend systems and scalable microservices. Partner closely with Data Scientists to productionise Machine Learning, NLP and Generative AI models. Build and optimise RESTful APIs for AI model serving. Monitor system reliability, model performance and observability across production environments. Drive best practices across CI/CD, automated testing, Infrastructure as Code and MLOps. Improve system integration and interoperability across enterprise platforms. Support internal and external consumers of AI services and APIs. Translate evolving business requirements into scalable engineering solutions. Mentor junior engineers and provide technical leadership within the team. Contribute to architectural decisions and influence engineering standards. Skills & Experience We're looking for someone with a strong software engineering background and commercial experience building AI-powered systems. You'll ideally have: Degree in Computer Science, Software Engineering, Artificial Intelligence or a related discipline. 5+ years' commercial experience in Backend Engineering, Data Engineering or Machine Learning Engineering. Expert-level Python development skills. Commercial experience with Machine Learning, NLP or AI platforms. Experience productionising machine learning models at scale. Strong experience designing RESTful APIs and microservices using frameworks such as FastAPI, Flask or Django. Experience working with SQL and relational databases, including performance optimisation. Experience designing cloud-native solutions within AWS and/or Azure. Strong understanding of distributed systems and scalable architectures. Experience with Docker, Kubernetes and containerised deployments. Knowledge of CI/CD pipelines, automated testing and Infrastructure as Code. Excellent communication and stakeholder management skills. A passion for mentoring and developing other engineers. Technology Stack Python SQL FastAPI PyTorch Docker Kubernetes AWS Azure Git CI/CD Knowledge Graphs Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry Machine Learning Natural Language Processing (NLP) What's on Offer Salary of 65,000 - 75,000 Hybrid working - 1 day per week in the London office Permanent opportunity Work on cutting-edge AI, Machine Learning and NLP projects Collaborative engineering culture with opportunities for technical leadership Career progression within a growing AI function Modern cloud-native technology stack Excellent benefits package If you're passionate about building production-grade AI systems and want to work on innovative Machine Learning and NLP solutions that have a global impact, we'd love to hear from you.

Job Title: Data Scientist Location: London (Hybrid) Type: Permanent Overview We are supporting a rapidly growing organisation that is currently looking for a Data Scientist to help with several new projects. You will be responsible for working with senior stakeholders to understand business problems and support Data and AI solutions. You will be contributing to projects across the lifecycle including modelling, evaluation and monitoring. You will be working closely with the data engineering team on data pipelines and quality. Key Responsibilities Develop and maintain data models and work with senior stakeholders. Build LLM features Work closely with cross-functional teams to deliver scalable AI-driven products Work with stakeholders across the business to understand problems and support the exploration of data-driven solutions. Work across the business to understand problems and support data driven solutions. Ensure high-quality, maintainable, and well-documented code Key Requirements Strong commercial experience with Python and SQL. Solid experience working on data science or AI projects. Experience with AWS, Azure or GCP Experience with ML and modern LLM/RAG systems. Strong communication skills and ability to collaborate with international teams Experience delivering data-driven solutions in a production environment For Immediate interview consideration please contact Ahsan Iqbal

Senior / Lead React AI Engineer Location: London (Hybrid - 3-4 days per week) Salary: 115,000 - 150,000 + Equity + Excellent Benefits Job Type: Permanent Build the Next Generation of AI Products We're partnering with an innovative, fast-growing technology company that's redefining how AI-powered products are built and delivered. This is an exciting opportunity for a Senior / Lead React AI Engineer to join a high-calibre engineering team developing cutting-edge AI applications used by customers globally. You'll play a pivotal role in building intuitive user experiences while integrating the latest advances in Generative AI and agentic systems into production software. The Role As a Senior / Lead React AI Engineer, you'll take ownership of features from concept through to production, working across both the front end and backend to deliver scalable, high-quality applications. Working closely with Product Managers, AI Engineers and Software Engineers, you'll help shape technical direction while building intelligent products that leverage Large Language Models (LLMs) and modern AI tooling. Key Responsibilities Design and develop modern, scalable React applications. Build backend APIs and services using TypeScript and Node.js. Deliver production-ready features across the full software development lifecycle. Integrate AI capabilities, LLMs and agentic workflows into customer-facing products. Collaborate with AI Engineers to build seamless AI-powered user experiences. Champion engineering best practices, testing and code quality. Improve application performance, scalability and reliability. Mentor engineers and contribute to technical leadership across the team. Work closely with cross-functional teams in an Agile environment. About You You'll be an experienced software engineer with a passion for building exceptional products and embracing modern AI technologies. You'll ideally have: 8+ years' commercial software engineering experience. Strong expertise with React and TypeScript . Experience developing backend services using Node.js . Experience building scalable APIs and modern web applications. Strong understanding of software architecture and engineering best practices. Commercial experience working with AWS or Google Cloud Platform (GCP) . Daily use of AI-assisted development tools such as Claude Code, GitHub Copilot or similar. Hands-on experience building or integrating AI-powered applications, LLMs or agentic systems. Excellent communication and stakeholder engagement skills. A proactive mindset with a passion for delivering high-quality software. Desirable Skills Vertex AI Large Language Models (LLMs) Agentic AI Docker CI/CD Infrastructure as Code Microservices Event-driven architecture Technology Stack React TypeScript Node.js AWS Google Cloud Platform (GCP) Vertex AI REST APIs Large Language Models (LLMs) Agentic AI Git CI/CD What's on Offer 115,000 - 130,000 base salary Equity package Hybrid working ( 3-4 days per week in the London office ) 30 days annual leave plus bank holidays Excellent benefits package Work on cutting-edge AI products used by customers around the world High-performing engineering team with genuine ownership and autonomy Excellent opportunities for career growth and technical leadership Eligibility Applicants must be based in the UK and have the full right to work in the UK . Unfortunately, visa sponsorship is not available for this position.

Product Owner - Betting Exchange Infused Solutions has partnered with a leading technology provider in the global iGaming and sports betting sector. The business delivers innovative platforms to operators worldwide and is now embarking on the launch of a next-generation Betting Exchange. What You'll Do Define and own the vision and roadmap for the new Betting Exchange. Translate business goals and customer needs into clear features and priorities. Manage the product backlog, user stories, and acceptance criteria. Collaborate with developers, designers, and QA to deliver high-quality releases. Monitor product performance, analyse competitors, and identify improvements. Champion customer needs and promote agile, data-driven product development. What We're Looking For Experience as a Product Owner within iGaming, sports betting, or exchange platforms. Strong understanding of exchange mechanics (back/lay betting, liquidity, in-play trading). Skilled in backlog management, Agile/Scrum, and cross-functional delivery. Commercially aware with strong analytical skills. Excellent communicator with proven stakeholder management ability. Passionate about sports, gaming, and innovative digital products. If this opportunity is of interest, please contact Harvey Moran at Infused Solutions for immediate consideration and CV review. Product Owner - Betting Exchange Job Type: Permanent Salary: 60,000 - 70,000 + Bonus + Benefits Location: Fully Remote (UK)

Infused Solutions is a dynamic and fast-growing recruitment firm, specializing in tech recruitment. We are looking to expand our team and are on the lookout for a Recruitment Administrator who is motivated, resilient, and ready to take on a rewarding career path. This is a fantastic opportunity for someone from an office administration, sales or customer service background to join a highly experienced team and make a real impact. We are looking for a proactive and detail-oriented Recruitment Administrator to join a busy and successful team. This role combines resourcing support with general office administrative support to ensure smooth operations across both talent acquisition and office functions. Key Responsibilities: Recruitment Support: Maintain and update the CRM inline with GDPR guidelines and company privacy policy. Help coordinate onboarding for new hires specifically for contract roles. Supporting the team on the recruitment process including sourcing candidates, reviewing applications, arranging interviews and candidate onboarding. Searching via CRM, LinkedIn and other job boards. Assist in organizing and attending recruitment events. Screen applications and schedule interviews as and when needed. General admin - formatting CVs and sending across agency TOBs. Office Support: Provide general administrative support to the Directors and Consultants. Order office supplies and support facilities management - communication with building manager for any building issues. Help coordinate internal meetings, events, and calendars. Assist with travel arrangements and expense processing. Support accountants as and when needed with financials. Requirements Previous experience in an administrative or recruitment support role. Strong communication and interpersonal skills. Experience working in a fast paced environment. Excellent organizational skills and attention to detail. Ability to manage multiple priorities and work to deadlines. Professional and confident in speaking to Hiring Managers and candidates. Confident using Microsoft Office (Word, Excel, Outlook) and other digital tools including google drive. Experience with ATS or LinkedIn would be beneficial. Friendly, professional, and discreet, with a can-do attitude. What We Offer A varied and engaging role within a supportive team. Ongoing training with industry leaders. Opportunities for professional growth in HR or operations or recruitment. Flexible working arrangements. Private health. Please send your CV by clicking the apply button, remembering to include current salary and package, as well as salary expectations.