Specialised Sales Manager

Atos SE
London
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning & Data Scientist

Key Account Manager

Senior Project Manager

Experienced Managers & Directors - Leisure, Travel & Tourism

Business Development Director

Manager - Customer Centric Transformation

Eviden, part of the Atos Group, with an annual revenue of circa € 5 billion, is a global leader in data-driven, trusted and sustainable digital transformation. As a next-generation digital business with worldwide leading positions in digital, cloud, data, advanced computing, and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 47,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.

Evidenis looking for aSpecialized Sales Manager High Performance Computing.

Our new colleague in the UK will support our customers in their data-driven decision-making by offering our portfolio of HPC solutions. The responsibilities of this role are pivotal for enterprises implementing AI, ML, big data analytics, and cloud computing solutions. The ideal candidate will be self-motivated, results-driven, and passionate about technology, with the ability to understand and communicate complex technical solutions to diverse stakeholders.

Key Responsibilities:

  1. Identify and develop new business opportunities within the HPC, AI, and Quantum computing market.
  2. Build and maintain strong relationships with key clients and partners.
  3. Create and present compelling technical solutions and proposals.
  4. Meet and exceed annual sales targets.
  5. Collaborate with technical teams to design custom HPC solutions.
  6. Stay current with industry trends and technological developments.
  7. Represent the company at industry events and trade shows.

Required Qualifications:

  1. 5+ years of experience in technical sales, preferably in HPC or AI training systems.
  2. Proven track record of achieving sales targets and growing business accounts.
  3. Strong understanding of HPC technologies, architectures, and applications.
  4. Experience selling to research institutions, universities, and commercial enterprises.
  5. Excellent presentation and communication skills.
  6. Bachelor's degree in Computer Science, Engineering, or a Scientific field (or equivalent experience).

Desired Skills:

  1. Knowledge of parallel computing, storage solutions, and networking.
  2. Understanding of scientific and engineering applications.
  3. Understanding of AI methods and machine learning.
  4. Existing relationships within the UK HPC community.
  5. Negotiation skills and experience in closing complex deals.
  6. Business qualification or MBA.

Competitive base salary + commission structure. Professional technical development opportunities.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.