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Peaple Talent

Peaple Talent

www.peapletalent.com

9 Jobs

30 Employees

About the Company

We are immersed in the Tech & Data ecosystem giving us invaluable insight into this exciting and everchanging market. Due to our deep network, we can unearth the best talent, rather than the 15% of active job seekers on the market.

We make the recruitment process as simple and pain-free as possible for our clients. For recruitment to be truly successful it needs to be a business partnership. We invest time in getting to know the organisation that we are partnering with, spending time onsite with the hiring manager and team to truly understand the technical competencies and required cultural fit to make the hire an absolute success.

Likewise, we spend time in person with each candidate we choose to represent, to fully understand their career aspirations, technical ability to be able to advise on their next move.

We understand that building a world-class team is so much more than just technical ability, it's about finding that person who holds the same values, motivations and expectations as you, the organisation and their peer group.

Listed Jobs

Company background Company brand
Company Name
Peaple Talent
Job Title
Artificial Intelligence Consultant
Job Description
Job Title: Artificial Intelligence Consultant Role Summary Provide AI strategy, design, and delivery for clients across multiple sectors. Lead the full AI lifecycle from research and prototyping to production deployment and client impact measurement, collaborating with cross-functional teams to deliver scalable, ethically‑aligned solutions. Expectations - 5+ years of hands‑on AI/ML experience in a client‑facing setting. - Manage stakeholder relationships and deliver project outcomes autonomously. - Keep up‑to‑date with emerging AI technologies and frameworks (GenAI, LLMs, agentic AI). - Communicate complex technical concepts clearly to non‑technical stakeholders. Key Responsibilities - Conduct market and technology research on emerging AI, LLMs, and agentic systems. - Assess client needs, design and recommend AI solutions, prototype, build, and train ML/DL models. - Provide technical input for roadmaps, proposals, and PoC development. - Build and deploy end‑to‑end solutions: data pipelines (ETL, Airflow), MLOps (Docker, cloud services), and dashboards (Tableau, Power BI). - Drive client impact through data exploration, model validation, and ethical AI strategy across EMEA sectors. - Collaborate with Data/AI Engineers and project teams to ensure successful full‑lifecycle deployments. Required Skills - Proficiency in Python/Java; deep learning frameworks (TensorFlow, PyTorch, scikit‑learn). - Experience with cloud AI services (AWS, Azure, GCP). - ETL tools and data pipeline orchestration (Airflow, SQL). - Data visualization tools (Tableau, Power BI). - Familiarity with GenAI/LLMs (OpenAI, Hugging Face, RAG), agentic tools (LangChain Agents, AutoGPT, CrewAI). - Strong communication, stakeholder management, and autonomous delivery. Required Education & Certifications - STEM degree (Computer Science, Engineering, Mathematics, or related field). - Relevant certifications in AI/ML, cloud platforms, or data engineering preferred (e.g., AWS ML, GCP AI, Azure AI).
London, United kingdom
On site
Mid level
12-01-2026
Company background Company brand
Company Name
Peaple Talent
Job Title
Senior Python Developer
Job Description
Job Title: Senior Python Developer Role Summary: Contract (3‑month) Senior Python Engineer focused on developing cloud‑native microservices for an AI‑driven SaaS platform. Requires immediate impact on green‑field feature delivery, with potential extension or permanent conversion. Expectations: Deliver scalable, resilient backend systems to meet tight delivery deadlines; collaborate closely with ML engineers; contribute to all stages of the development lifecycle; work 3‑4 days a week onsite at the client’s office. Key Responsibilities: • Design and implement RESTful APIs in Python for high‑throughput services • Build, test, and deploy microservices on AWS using containers and Kubernetes • Design and manage SQL/NoSQL database schemas and queries • Apply MLOps practices to integrate machine‑learning models into production pipelines • Perform code reviews, unit/functional testing, and continuous‑integration deployments • Mentor junior staff and document architecture decisions Required Skills: Python (3.x), AWS (Lambda, ECS/EKS, S3, RDS/NoSQL, IAM), REST API design, SQL & NoSQL database design, Docker, Kubernetes, CI/CD pipelines, MLOps fundamentals, version control (Git), agile development practices. Required Education & Certifications: Bachelor’s or higher in Computer Science, Information Technology, or related field; relevant AWS certification (Solutions Architect / Developer) preferred.
Bristol, United kingdom
On site
Senior
15-01-2026
Company background Company brand
Company Name
Peaple Talent
Job Title
Infrastructure Engineer
Job Description
**Job Title:** Infrastructure Engineer **Role Summary:** 12‑month fixed‑term contract to resolve escalated technical issues, proactively monitor, and maintain core IT infrastructure. Core responsibilities include managing Windows servers, VMware vSphere environments, SQL databases, Exchange/Microsoft 365 services, backup and disaster recovery, and security patching while ensuring compliance with ISO 27001 standards. **Expectations:** - Respond quickly to high‑priority incidents and perform root‑cause analysis. - Own and finish delegated tasks and projects. - Collaborate effectively with suppliers, internal teams, and stakeholders. - Maintain accurate, up‑to‑date documentation, policies, and procedures. - Ensure continuous availability, security, and compliance of all managed systems. **Key Responsibilities:** - Administer Windows Server (AD, DNS, DHCP, Group Policy, File Services). - Manage VMware vSphere (ESXi hosts, vCenter, clusters, resource pools). - Deploy, configure, and support Microsoft Exchange and Microsoft 365 services. - Oversee SQL Server installations, backups, performance tuning, and maintenance. - Implement and test backup (Veeam) and disaster‑recovery (Zerto) solutions. - Apply security patches and vulnerability management across the environment. - Configure networking devices (switches, routers, firewalls, VPN). - Manage Azure AD, Intune, and Endpoint Manager for device and identity management. - Produce and maintain technical documentation, policy‑control matrices, and ISO 27001 evidence. **Required Skills:** - Windows Server administration (2012/2016/2019/2022). - VMware vSphere (ESXi, vCenter) expertise. - Microsoft Exchange/Microsoft 365 administration. - SQL Server administration. - Active Directory, DNS, DHCP, Group Policy, OU design. - Network fundamentals (switches, routers, firewalls, VPN). - Azure AD, Intune, Endpoint Manager. - Backup/DR tools: Veeam, Zerto. - PowerShell scripting. - ITIL or comparable framework knowledge. - Strong customer‑service orientation, communication, and documentation skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, IT, or related field (or equivalent experience). - Preferred certifications: Microsoft Certified: Azure Administrator Associate; Microsoft Certified: Windows Server Administrator; VMware Certified Professional (VCP); Veeam Certified Engineer. - Security certifications (CompTIA Security+, CISSP) are a plus.
Bristol, United kingdom
Hybrid
20-01-2026
Company background Company brand
Company Name
Peaple Talent
Job Title
Senior Python Engineer
Job Description
Job Title: Senior Python Engineer Role Summary Experienced backend engineer to design, develop, and maintain cloud‑native microservices for a rapidly evolving SaaS platform. Must collaborate closely with machine learning engineers to implement AI‑driven features in a production environment. Expectations - Deliver high‑quality, production‑ready code on strict timelines - Participate in architectural design and code reviews - Mentor junior developers and share best practices - Ensure services are scalable, resilient, and secure Key Responsibilities - Build and extend RESTful APIs using Python (Django framework) - Design and maintain SQL and NoSQL database schemas - Containerise applications with Docker and orchestrate deployments on Kubernetes - Implement CI/CD pipelines and infrastructure as code (IaC) on AWS - Integrate MLOps workflows to deploy and monitor ML models - Troubleshoot performance issues and optimize resource usage - Collaborate with cross‑functional teams (product, QA, ML engineering) Required Skills - Advanced proficiency in Python and Django - Deep experience with AWS services (EC2, ECS/EKS, Lambda, RDS, S3, IAM) - Strong knowledge of Docker and Kubernetes (including Helm) - Proven ability to design REST APIs and manage relational & NoSQL databases - Familiarity with MLOps tools (e.g., MLflow, SageMaker, Kubeflow) - Solid understanding of microservice architecture, CI/CD, and IaC (Terraform, CloudFormation) - Excellent coding standards, unit testing, and version control (Git) - Strong communication and problem‑solving skills Required Education & Certifications - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience) - Relevant AWS certifications (e.g., AWS Certified Solutions Architect, Developer) are advantageous.
Bristol, United kingdom
On site
Senior
30-01-2026