Avensys Consulting UK

About the Company

Avensys Talent Services, we provide greater business value to our customers by offering the best IT Outsourcing and Services. Finding the right help at the right time can be a daunting task. Avensys Consulting is a leader in providing technology enabled business solutions and services.

Since its inception in 2007, Avensys has assisted clients in their IT transformation journey to use IT more efficiently improving their productivity and achieve business results such as increased agility, innovation and profitable growth.

At our core, we strive for equity and inclusivity in the workforce. Our goal is to support individuals from diverse backgrounds to stay up-to-date and competitive in today's ever-evolving job market. With our in-depth knowledge of the labor market, we work hand-in-hand with clients to cultivate a versatile and diverse workforce, positioning them for success.

Our in-depth technical knowledge, coupled with industry expertise and use of unique methodologies, enabled us to be a trusted partner, meeting all our customers’ expectations. Areas of expertise in Talent Services include Hire Train and Deploy, Executive Placements.

Listed Jobs

Company Name

Avensys Consulting UK

Job Title

DevOps Engineer (AI)

Job Description

**Job Title** DevOps Engineer (AI) **Role Summary** Lead end‑to‑end deployment of the Agentic AI platform in enterprise settings. Architect scalable, secure, and compliant solutions while integrating ML models, APIs, and data pipelines into production infrastructure. Act as senior technical lead, mentor peers, and collaborate closely with customer engineering teams. **Expectations** - Execute 03‑06 month contracts with potential extension. - Fluent in French; English proficiency acceptable for documentation and client interaction. - Deliver reliable, high‑performance AI deployments meeting enterprise security and compliance requirements. **Key Responsibilities** 1. **Deployment Engineering** - Design and implement end‑to‑end pipelines for Agentic platform integration. - Deploy ML models, ensuring scalability, reliability, and monitoring. - Automate releases via CI/CD, IaC (Terraform, Helm, Ansible), Docker & Kubernetes. 2. **AI Platform Integration & Optimization** - Build SDKs, APIs, micro‑services for custom use cases. - Develop data preprocessing, feature engineering, real‑time inference tooling. - Optimize model serving, caching, and resource allocation for low latency. 3. **Reliability, Security & Compliance** - Architect resilient, observable, and scalable systems. - Apply enterprise security best practices (encryption, identity, network). - Address SOC2, HIPAA, GDPR, and other regulatory constraints. 4. **Engineering Leadership & Technical Escalation** - Lead technical resolution of complex deployment issues. - Partner with customer engineering teams to embed platform into workflows. - Provide field feedback to product and core engineering. 5. **Enablement & Knowledge Sharing** - Create reusable deployment templates, automation scripts, and playbooks. - Mentor Forward Deploy Engineers on advanced patterns and ML systems engineering. **Required Skills** - Strong programming in Python, TypeScript/JavaScript, or comparable backend language. - Cloud experience (AWS, GCP, Azure) with Kubernetes, serverless frameworks. - API design, distributed systems, and data engineering proficiency. - Operationalizing ML models (TensorFlow, PyTorch, Hugging Face, custom inference engines). - CI/CD, IaC (Terraform, Helm, Ansible) expertise. - Monitoring & observability stack: Prometheus, Grafana, ELK, Datadog. - Performance profiling, scaling strategies, SRE principles. - Security (SSO, RBAC, encryption) and compliance awareness (SOC2, HIPAA, GDPR). - Excellent debugging, problem‑solving, and communication skills. - Adaptability to fast‑moving, ambiguous environments. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - Certifications in cloud platforms (AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect) and DevOps practices (e.g., Kubernetes Certified Administrator) preferred.

Paris, France

On site

05-01-2026

Company Name

Avensys Consulting UK

Job Title

AWS Cloud Platform Engineer

Job Description

**Job Title:** AWS Cloud Platform Engineer **Role Summary:** Design, build, and operate scalable, highly‑available AWS multi‑region infrastructures. Collaborate with DevOps, SRE, Security, and application teams to deliver secure, cost‑effective, and resilient cloud platforms. **Expectations:** - Deliver production‑grade multi‑region AWS solutions on schedule. - Maintain operational excellence, security compliance, and cost optimization. - Troubleshoot complex networking and latency issues across distributed environments. **Key Responsibilities:** - Design and manage AWS multi‑region architectures for high availability, DR, and low‑latency global access. - Build and maintain VPCs, subnets, route tables, NAT/IGW, Transit Gateway, VPC Peering, and PrivateLink. - Architect hybrid and multi‑account environments using AWS Organizations and landing zones. - Implement network security controls with Security Groups, NACLs, WAF, Shield, and firewall appliances. - Automate provisioning with IaC tools (Terraform preferred, CloudFormation, CDK). - Configure cross‑region traffic routing via Route 53, ALB/NLB, Global Accelerator, and DNS failover. - Operate highly available services (EC2, EKS/ECS, RDS/Aurora, DynamoDB Global, S3 replication). - Implement observability with CloudWatch, VPC Flow Logs, X‑Ray, and third‑party tools. - Ensure security, compliance, and cost‑optimization best practices across regions. - Troubleshoot networking, latency, and connectivity issues. - Collaborate on CI/CD pipelines, platform self‑service, and reliability standards. **Required Skills:** - Hands‑on expertise with core AWS services (EC2, VPC, IAM, Route 53, ELB, S3, RDS, EKS/ECS). - Proven experience designing and operating multi‑region AWS deployments. - Deep knowledge of cloud networking: CIDR planning, routing, DNS, VPN, Direct Connect, load balancing, TLS, segmentation. - IaC proficiency (Terraform preferred). - Linux administration and scripting (Bash, Python). - Security best practices in AWS (IAM, least privilege, encryption, logging). **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or related technical field. - AWS certifications: Solutions Architect – Professional and/or Advanced Networking Specialty (or equivalent).

London, United kingdom

On site

23-01-2026

Company Name

Avensys Consulting UK

Job Title

Infrastructure Engineer (AWS)

Job Description

Job Title: Infrastructure Engineer (AWS) Role Summary: Responsible for operating, monitoring, and optimizing a high‑availability multi‑region AWS environment supporting bank operations. Focuses on stability, performance, security, compliance, and developer enablement through automation and platform improvements. Expectations: - 5–7 years of cloud infrastructure engineering experience, primarily in AWS. - Demonstrated ability to design and maintain secure, resilient, and compliant cloud solutions. - Strong problem‑solving, communication, and cross‑functional collaboration skills. - Commitment to continuous improvement and adherence to DevOps and SDLC best practices. Key Responsibilities: - Maintain and enhance 24/7 AWS infrastructure for banking operations, ensuring performance, security, and regulatory compliance. - Design and implement connectivity between AWS accounts, clients, and third‑party services, ensuring secure, reliable experiences. - Create automation scripts and tooling using Bash, Python, or Go to streamline infrastructure provisioning and operations. - Build and support cloud platforms (EKS, CI/CD) for application developers to improve developer experience and SDLC efficiency. - Manage vendor relationships and coordinate cross‑business project activities. - Participate in on‑call rotation to ensure platform reliability and rapid incident response. Required Skills: - In‑depth knowledge of AWS services and networking (VPC, subnets, routing, security groups, peering, VPN, Direct Connect). - Hands‑on experience with Infrastructure as Code using Terraform; ability to write and maintain IaC configurations. - Proficiency in Kubernetes (EKS) operations, including cluster management, service mesh (Istio), and ingress control. - Experience configuring and managing reverse proxies (Traefik, NGINX, HAProxy). - Strong programming skills in Go; familiarity with Bash, Python for automation scripts. - Solid understanding of network protocols (TCP/IP, DNS, DHCP, ICMP, VPN) and network monitoring/diagnostic tools. - Analytical and problem‑solving capabilities with a focus on continuous improvement. - Familiarity with DevOps principles, CI/CD pipelines, SRE practices, and security best practices. Required Education & Certifications: - Formal training or certification in software engineering or related field. - Relevant cloud certifications such as AWS Certified Solutions Architect – Associate or AWS Certified DevOps Engineer – Professional.

London, United kingdom

On site

Mid level

04-02-2026

Company Name

Avensys Consulting UK

Job Title

Data Scientist

Job Description

**Job Title:** Data Scientist **Role Summary** Develop industrialized optimization and machine learning models for a full-stack product squad delivering operations decision-support software. **Expectations** - Minimum 0-2 years of experience in production ML or optimization software at scale. - Master’s degree in data science, machine learning (ML), or operations research, or 2+ years equivalent industry experience. **Key Responsibilities** - Design and implement machine learning models (supervised/unsupervised learning, optimization) and operations research solutions. - Collaborate with product teams to integrate models into decision-support software. - Structure and resolve business/technical challenges using data science and analytical techniques. - Test, validate, and document model performance. - Communicate technical insights to non-technical stakeholders. **Required Skills** - Proficiency in Python (required); additional programming languages (preferred). - Applied knowledge of ML libraries (scikit-learn, pandas, numpy), optimization tools (linear/mixed integer programming), and visualization (seaborn). - Experience with cloud platforms (AWS), code versioning (Git), and experiment tracking (MLflow). - Strong SQL skills and data engineering capabilities. - Advanced analytical skills for rapid problem-solving and business insight generation. **Required Education & Certifications** - Master’s degree in data science, ML, or operations research; or 2+ years industry experience.

London, United kingdom

On site

Junior

06-02-2026