The Portfolio Group

About the Company

The Portfolio Group is a specialist recruitment agency dedicated to sourcing exceptional talent across four key divisions: Payroll, Credit Control, Procurement and HR, Benefits & Reward.

We also provide comprehensive RPO solutions, partnering with businesses to streamline their recruitment processes.

Over 30 Years of Recruitment Excellence

Founded in 1988, we bring over three decades of industry expertise and a proven track record of recruiting at all levels across the UK and multiple industry sectors.

With offices in London, Manchester, Dublin, and Toronto, we deliver success in permanent, temporary, and contract recruitment, offering a fast, efficient, and consultative service backed by an impressive client base. Our commitment to strong client relationships, ethical recruitment practices, and passion for what we do sets us apart.

As of January 2025, The Portfolio Group is ranked #1 Recruitment Agency on Trustpilot based on over 2,500 reviews.

Comprehensive Recruitment Solutions

Beyond our core divisions, we also recruit for a range of business-critical functions, including but not limited to:

* Credit Control & Finance
* Governance, Risk Management & Compliance
* Health & Safety
* HR, Compensation, Benefits & Reward
* IT - Development, Projects & Services
* Legal Services
* Payroll & Tax
* Procurement & Supply Chain
* Sales, Marketing, PR & Communications

Award-Winning Recruitment Agency

The Portfolio Group has been recognised for its excellence in recruitment, earning accolades such as:
* The Sunday Times 100 Best Small Companies to Work For (most recently in 2017)
* The Sunday Times Fast Track 100 (twice)
* The Recruiter Hot 100 (2021)
* Shortlisted for Recruitment Agency of the Year - Medium (50-99 employees) in 2021

Contact Us
London & the South: +44 207 247 9455
Manchester & the North: +44 161 836 9949
Dublin & the Republic of Ireland: 1800800281
Toronto: +1 (647) 660 1581

Listed Jobs

Company Name

The Portfolio Group

Job Title

Principal AI Engineer

Job Description

**Job Title** Principal AI Engineer **Role Summary** Design, build, and deploy production‑grade generative AI solutions. Lead engineering of Retrieval‑Augmented Generation (RAG) pipelines, agentic workflows, and evaluation frameworks. Translate strategic vision into scalable, maintainable code, partnering with platform, product, and delivery teams. **Expectations** * Own end‑to‑end architecture and implementation of complex AI systems. * Deliver high‑quality, production‑ready code with rigorous testing. * Mentor and provide technical leadership to a growing AI engineering team. * Balance rapid experimentation with reliable production deployment. **Key Responsibilities** 1. Engineer end‑to‑end generative AI systems (RAG, agentic workflows). 2. Build scalable RAG pipelines integrating proprietary and domain content. 3. Apply model adaptation techniques (prompting, fine‑tuning, knowledge distillation) to optimise latency, cost, and output quality. 4. Define and run experiments to evaluate correctness, faithfulness, and robustness. 5. Contribute to advanced retrieval methods (Graph‑RAG, structured knowledge bases). 6. Oversee code quality, performance, and security across AI services. 7. Mentor junior engineers and maintain high coding standards. 8. Collaborate cross‑functionally with product managers, platform engineers, and delivery leads to transition prototypes to production. **Required Skills** * Advanced Python for production AI (LlamaIndex, LangChain, LangGraph). * Proven design and delivery of RAG systems; Graph‑RAG knowledge preferred. * Expertise in model adaptation: prompting, fine‑tuning, instruction tuning, distillation. * Strong grasp of generative AI evaluation: correctness, faithfulness, robustness. * Experience leading technical design of ML/AI production systems. * Excellent communication and cross‑team leadership. **Required Education & Certifications** * Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. * Professional certifications in AI/ML (e.g., AWS Certified Machine Learning‑ Specialty, GCP Professional Machine Learning Engineer) are a plus.

London, United kingdom

On site

Senior

29-12-2025

Company Name

The Portfolio Group

Job Title

New Business Sales Manager

Job Description

**Job Title:** New Business Sales Manager **Role Summary:** Lead a high‑performing Business Development Manager (BDM) team to acquire new SME clients for HR and payroll software across the UK. Drive revenue growth, coach the team through prospecting to closing, and shape a results‑oriented sales culture. **Expectations:** - Deliver and exceed quarterly new‑business revenue targets. - Maintain robust pipeline and accurate forecasting in CRM. - Foster continuous skill development through training, coaching, and performance reviews. - Collaborate with senior leadership on strategy and process improvements. **Key Responsibilities:** 1. Recruit, mentor, and manage a team of BDMs focused on new SME accounts. 2. Set and monitor individual and team sales goals; conduct regular performance reviews. 3. Oversee the full sales cycle: prospecting, discovery, pitching, and closing. 4. Design and deliver structured training programs and call coaching sessions. 5. Implement performance management plans and developmental pathways. 6. Partner with senior leadership to refine sales strategy, processes, and forecasting. 7. Maintain up‑to‑date pipeline data and generate accurate sales reports. 8. Cultivate a competitive yet supportive team environment that rewards high performance. **Required Skills:** - Proven experience leading B2B new‑business sales teams. - Strong background in high‑volume outbound selling. - Track record of consistently achieving or surpassing revenue targets. - Excellent coaching, motivation, and people‑development capabilities. - Proficiency in pipeline reviews, performance management, and sales training. - Strong communication, presentation, and leadership skills. - Experience selling subscription or consultancy‑based solutions is highly desirable. **Required Education & Certifications:** - Bachelor’s degree in Business, Sales, Marketing, or related field (or equivalent work experience). - Sales or management certifications (e.g., Certified Professional Sales Leader, Six Sigma, or similar) are a plus.

Manchester, United kingdom

On site

06-03-2026

Company Name

The Portfolio Group

Job Title

AI Platform Engineer

Job Description

Job title: AI Platform Engineer Role Summary: Own and evolve a cloud-native platform that powers conversational and generative AI products. Design, build, and operate runtime, infrastructure, and operational layers for RAG pipelines, LLM orchestration, vector search, and evaluation workflows across AWS and Databricks. Ensure scalability, observability, security, and cost efficiency for production‑grade AI services. Expactations: Deliver end‑to‑end AI system capabilities that transform experimental models into reliable, scalable services. Collaborate with senior AI engineers and product teams to define architecture, implement observability, CI/CD, governance, and future multi‑model or agentic workflows. Key Responsibilities: - Own and continuously improve the AI platform for conversational assistants and generative AI offerings. - Build, operate, and optimise RAG pipelines, LLM‑backed services, and vector search systems to enhance latency, reliability, and cost. - Design and run cloud‑native AI services on AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch) and Databricks, including ingestion and embedding pipelines. - Scale and maintain vector search infrastructure using Weaviate, OpenSearch, Algolia, and AWS Bedrock Knowledge Bases. - Implement robust observability, CI/CD, security, and governance across AI workloads. - Enable future architectures such as multi‑model orchestration and agentic workflows. Required Skills: - Strong experience with AWS services (Lambda, API Gateway, DynamoDB, S3, CloudWatch). - Hands‑on Databricks and large‑scale data/embedding pipelines. - Proven track record building and operating production AI systems: RAG pipelines, LLM services, vector search (Weaviate, OpenSearch, Algolia). - Proficiency in Python; deploying containerised services on Kubernetes using Terraform. - Deep understanding of distributed systems, cloud architecture, and API design with focus on scalability and reliability. - Demonstrated ownership of observability, performance, cost efficiency, and operational robustness in production environments. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience).

London, United kingdom

On site

13-03-2026